Distributed network organization underlying feeding behavior in the mollusk Lymnaea
© Benjamin; licensee BioMed Central Ltd. 2012
Received: 3 November 2011
Accepted: 17 April 2012
Published: 17 April 2012
The aim of the work reviewed here is to relate the properties of individual neurons to network organization and behavior using the feeding system of the gastropod mollusk, Lymnaea. Food ingestion in this animal involves sequences of rhythmic biting movements that are initiated by the application of a chemical food stimulus to the lips and esophagus. We investigated how individual neurons contribute to various network functions that are required for the generation of feeding behavior such as rhythm generation, initiation ('decision making'), modulation and hunger and satiety. The data support the view that feeding behavior is generated by a distributed type of network organization with individual neurons often contributing to more than one network function, sharing roles with other neurons. Multitasking in a distributed type of network would be 'economically' sensible in the Lymnaea feeding system where only about 100 neurons are available to carry out a variety of complex tasks performed by millions of neurons in the vertebrate nervous system. Having complementary and potentially alternative mechanisms for network functions would also add robustness to what is a 'noisy' network where variable firing rates and synaptic strengths are commonly encountered in electrophysiological recording experiments.
KeywordsDistributed organization Lymnaea Molluscan feeding behavior Networks Neurons
There has been an evolution of ideas on the organization of the Lymnaea feeding system following the accumulation of more data on the sensory basis of feeding activation [4, 10–14]. A previous hierarchical model  has been replaced by a distributed model in which individual neurons have shared and overlapping roles, with multifunctionality a common feature (summarized in Figure 1C). When sensory stimuli are applied to the lips and esophagus and compared with the results of 'artificial' neuronal stimulation by current injection, it was realized that direct feeding activation was widely distributed, not just to higher-order interneurons such as the CBIs, but also to CPG interneurons . Thus the 'decision' to feed is not the property of a single class of hierarchically-organized neurons. In addition, rhythm generation is shared by CPG interneurons and motoneurons and modulatory functions are also widely distributed across the network [4, 16, 17]. A distributed type of organization also is found in other invertebrate motor circuits . In the leech, the same group of interneurons fire during more than one behavior, indicating multifunctionality . The decision to swim or crawl is carried out by a population of 'covarying' interneurons that show a pattern of activity that is specific to one of the two behaviors. Remarkably, manipulating the membrane potential of just one of these covarying neurons significantly biases the behavior towards either swimming or crawling depending on whether the cell is depolarized or hyperpolarized . Within a CPG circuit, such as the pyloric CPG of the crustacean stomatogastric system, rhythm generation is not the property of any particular neuron but depends on a combination of endogenous plateauing and network synaptic connectivity that is distributed across the whole network [2, 18].
Rhythmogenesis is not the property of a single class of neurons and CPG interneurons and motoneurons both contribute (Figure 1C). The major source of rhythmicity arises from the CPG interneurons. These interneurons fire in a three-phase sequence that is aligned to the feeding cycle (Figure 2A). The most important cells are the N1M and N2vs that occur as bilaterally symmetrical pairs. These cells form the core oscillator of the feeding CPG and alternate in activity during the protraction phase (N1M) and rasp phase (N2v) of the feeding cycle (Figure 2A). The rhythmic pattern of activity shown by the N1M and N2v cells depends on their plateauing properties and this provides the main oscillatory drive to the CPG network [28, 30]. The recurrent inhibitory synaptic connections between the two cells (N1 → N2 excitation followed by delayed N2v → N1M inhibition) generate the sequence of N1M → N2v firing  (see model in Figure 2C, top). The N1Ms continue to show plateauing properties in cell culture  and so the plateauing is truly endogenous whereas the N2vs require the presence of a chemical modulator and are thus 'conditional' plateauing neurons . In culture the N1Ms show long duration plateaus of up to 20 s in duration but in the intact network the inhibitory feedback from the N2vs reduces the duration to between 3 s and 10 s and causes an 'early' switch in the phases of the feeding pattern from protraction to rasp .
Evidence from resetting and photoinactivation experiments strongly support the hypothesis that the N1Ms and N2vs are the main generators of CPG rhythmic activity [37, 38] but further validation of their role comes from recent computer modeling of the two-cell network . Biophysically-accurate computer simulation of the N1M and N2v cells and 'connecting' them in a two-cell network generates a two-phase pattern of alternating rhythmic activity that mimics the main features of the biological system (Figure 2C, top) . However, a three-cell network is required to get the triphasic feeding rhythm required for normal feeding behavior and this also was successfully modeled (Figure 2C, bottom) in the same study. This larger network includes the most important swallow phase interneurons, the paired N3ts. The N3t cell type is not an endogenous oscillator but fires by post-inhibitory rebound (post-inhibitory rebound (PIR), Figure 2A)  after receiving inhibitory synaptic input from the N2v interneurons (Figure 2C, bottom). By providing strong inhibitory feedback to the N1Ms during the swallow phase of the feeding rhythm, the N3ts delay the recovery of the N1Ms thus creating a separate swallow phase of the feeding cycle (Figure 2C, bottom). No inhibitory synaptic feedback is present to stop N2v firing and this is presumed to be due to an endogenous mechanism .
Other types of N cells, the N2ds and N3ps, are likely to play only a minor role in CPG oscillation because of their lack of endogenous properties . They do, however contribute to network function because of the inhibitory synaptic feedback they provide to the N1Ms (Figure 2B, left). The N2ds appear to generate plateaus (Figure 2A) but these 'apparent' plateauing waveforms are due to the strong electrotonically-mediated synaptic inputs from the N2vs  rather than any endogenous plateauing capability . The N3ps fire due to electrotonically-mediated excitatory inputs from the B4/B4Cl motoneurons that fire in the same swallow phase of the feeding cycle (Figure 2B, left) . The N2ds do not show any endogenous oscillatory activity or PIR . The N1L cells have more complex CPG-like and modulatory functions and their role will be considered later in the section on modulation.
More recently it was realized that some of the motoneurons play an important role in rhythm generation (Figure 1C) due to their electrotonic coupling with the CPG interneurons . Previously, it was considered that motoneurons were follower cells of the CPG , with no influence on the generation of the feeding pattern. An important feature of the coupling is that it is restricted to motoneurons and CPG interneurons that fire in the same phase of the feeding pattern (Figure 2B, right). The B7 protraction phase motoneurons are coupled to the N1Ms, the B10 rasp phase motoneurons to the N2d/N2vs and the B4/B4Cl swallow phase neurons to the N3p/N3ts. This coupling contributes to same-phase synchronicity in the whole feeding network but also makes the motoneurons part of the CPG. This is because the motoneurons oscillate in a phase-locked manner with patterned output, provide functionally relevant synaptic inputs to the CPG interneurons and can reset the whole feeding pattern when they are manipulated within their physiological range . The B7 motoneuron type is particularly important in rhythm generation. Making the B7 fire continuously by current injection activates a feeding pattern in inactive preparations by driving plateauing in the N1Ms. Conversely, long-duration suppression of spiking activity in the B7 by hyperpolarization completely stops a SO-activated feeding rhythm with loss of activity in the rest of the CPG, showing that the B7 is necessary for rhythm generation. Finally the endogenous properties of the motoneurons are also important in rhythmogenesis. Straub and Benjamin showed that the B4/B8 swallow phase motoneurons are capable of bursting in the absence of any synaptic inputs from the CPG interneurons and this provides an important mechanism contributing to rhythmicity as well. The bursting is induced by the release of 5-hydroxytryptamine (5-HT) from the CGC modulatory interneuron and so is conditional (see section on Modulation).
As in other systems , rhythm generation in Lymnaea depends a mixture of endogenous (bursting, plateauing and PIR) and network synaptic properties (recurrent inhibition, electrotonic coupling) both of which are widely distributed across the CPG/motoneuronal network. The data indicate that the feeding motoneurons in Lymnaea have dual roles in rhythm generation and control of movement (Figure 1C) and so they cannot simply be followers of the CPG interneurons, as suggested by the previous hierarchical model . Motoneurons are also notable for their contribution to rhythm generation in other motor networks in both invertebrates and vertebrates (reviewed in ) exemplified by the stomatogastric system of crustaceans where the motoneurons are the CPG .
Early experiments  showed that electrical stimulation of the CBI type, CV1a, could initiate and maintain a robust feeding rhythm due to its strong monosynaptic excitatory connection with the N1M CPG interneurons. Once the feeding rhythm has started, the CV1a cells receive inhibitory synaptic feedback from the CPG that makes them fire phasically in the same protraction phase of the feeding cycle as the N1Ms . The CV1b cell type has a weaker effect on the feeding CPG and its firing pattern tends to be more or less continuous and less modulated by feedback from the CPG compared with the CV1as . The role of the more recently discovered CA1 cells is likely to be linked to the CV1 network . The cell is electrotonically coupled to both the CV1a and CV1b cell types and the cells fire together in the same phase of the feeding network (Figure 3B). Like the CV1a, the CA1 can initiate and maintain a feeding rhythm when electrically stimulated by current injection although unlike CV1a its connection with the N1M is polysynaptic (Figure 3B). When the cells were recorded together, a variable order of activation was observed suggesting that neither cell is predominant in activating feeding . A further type of CV cell type, CV1c has been found (Figure 3Aand ) that is also electrotonically coupled to the CA1 and CV1a cells. It tends to fire weakly in a sugar-driven feeding rhythm (Figure 3C), perhaps due to its coupling with these other cells. Other CBIs (CL1, CT1 and CT3) also respond to sugar stimulation and contribute to the CBC-recorded population response  but as they have no clear role in activating feeding they have not yet been investigated in detail. Further types of CBI function such as behavioral switching  and feed-forward control of phase duration  have been demonstrated by elegant costimulation experiments in the related mollusk Aplysia and some of these functions also may be present in Lymnaea .
The most recent type of CBI to be investigated, the CT2, is considered to be the most important in starting the pattern of feeding activity in the CPG . This cell shows a strong burst of spikes within 1 to 2 s of application of sucrose to the lips (Figure 3D, arrowed) unlike the CV1a and other CBIs that slowly depolarize over several seconds before firing. The protraction phase CPG interneuron N1M previously was shown to be the first cell to fire in a sucrose-driven pattern  ahead of the CV1a. However, extracellular recordings of the CBC show that the CT2 is active before the N1M . The recording in Figure 3D (horizontal line and bar) shows that the first burst of spikes in the B1 motoneuron, driven by N1M synaptic inputs , occurs after the first burst of spikes in the CT2 confirming the CT2, N1M order of firing. The CT2 can drive activity in the N1M  so the early sucrose-driven burst in the CT2 is likely to be critical in triggering the N1M to fire at the onset of a sequence of feeding cycles. The other CBIs fire slightly later usually during the second cycle of feeding activity and then contribute to N1M plateauing .
The N1Ms also play an important role in feeding activation (Figure 1C). There are two chemosensory pathways for sucrose activation of the feeding CPG that both converge on the N1Ms: the first provides early excitation of the CT2s which then stimulate activity in the N1Ms (above), the second provides direct monosynaptic excitatory input to the N1Ms as shown by its persistence during the blocking of polysynaptic pathways . Thus, rather than one of these pathways dominating, there is a coactivation of the CBIs (not just the CT2s, Figure 3C) and the N1Ms by primary chemosensory neurons. The stimuli from both routes are then integrated by the N1Ms to give rise to rhythmic feeding by triggering N1M plateauing. As the N1Ms are rarely spontaneously active  the triggering by excitatory synaptic inputs, direct and indirect, is essential for feeding to occur. In our computer simulation of the feeding network (Figure 2C) the N1M was 'artificially' depolarized to mimic the triggering effects of these two types of excitatory inputs .
The suppression of motor circuits by tonic inhibition has been observed in other episodic motor systems . An obvious general function is to prevent unnecessary non-goal-directed activity that would be energetically expensive. The reason why rhythmic motor programs might be a particular target for tonic inhibition is that many of them involve CPGs that are often 'spontaneously' active and therefore need to be 'actively' suppressed for energy saving.
As part of the consideration of the dynamic control of the feeding network, the role of several types of modulatory neurons will be considered next. One type of modulatory interneuron (the CGC) is clearly 'extrinsic' to the CPG network and regulates its responsiveness, a type of 'gating' function. Other types of modulatory neurons (SO, OC and N1L) are considered to be 'intrinsic' to the CPG. This type of modulation is inferred from the close relationship the modulatory neurons have with the CPG . In Lymnaea, intrinsic modulation is important in reinforcing, maintaining and controlling the frequency of the feeding rhythm.
Cerebral Giant Cells
The role of the CGCs in gating depends on two types of mechanisms. One involves background synaptic depolarization of CPG interneurons and motoneurons by tonic firing in the CPGs (Figure 5D) . The other depends on the effects of CGC firing on the endogenous properties of CPG interneurons and motoneurons [17, 30]. The most significant CGC synaptic connections are with the N1M and N2v cells . The CGCs reduce the threshold for plateauing in both of these neuron types  and this plays a critical role in network gating because of the major role these cells play in rhythm generation (above). The N1Ms are slowly depolarized by CGC stimulation and this makes them more likely to respond to other types of triggering synaptic input from cells such as the CBIs. The N2vs are also depolarized by the CGCs. This is usually too weak to initiate plateaus but if the N2vs are depolarized by spontaneous synaptic input or by artificial depolarization then plateaus are initiated as is the case with the N1Ms. However, the longer-term effects of CGC tonic firing may be most significant for the N2vs role in gating . This was clear in suppression experiments where after 2 minutes of spiking loss in the CGCs the N2vs cease to plateau, recovering when CGC firing is allowed to recommence. This experiment indicates that spiking activity in the CGCs is required for the endogenous plateauing of the N2vs.
The post-synaptic effects of CGC tonic firing on motoneurons are also important in network gating . The resulting tonic depolarization of motoneurons reduces their threshold for spiking and makes them more responsive to the CPG synaptic inputs that drive their rhythmic activity . Without this modulatory synaptic input the motoneurons do not fire enough to drive muscular activity. However, because of the electrotonic coupling between the motoneurons and CPG interneurons (Figure 2B, right), CGC-induced increases in motoneuronal spiking activity also contribute to gating at the CPG level . Gating of network activity also is due to CGC modulatory effects on the endogenous properties of motoneurons. In culture and in the intact ganglion, the firing of the CGCs or application of their transmitter 5-HT for a few seconds cause multiple modulatory effects on rasp and swallow phase motoneurons that last for many minutes. The resulting membrane potential depolarization, induction of endogenous bursting and an enhancement of PIR  all increase the probability of motoneuron firing during feeding cycles contributing significantly to the gating function of the CGCs at both the motoneuron and CPG levels .
Frequency control depends on the CGC excitatory synaptic connections with the N1M CPG interneurons (Figure 5D) and on the endogenous modulation of motoneuron bursting by the CGCs (above). Increasing the CGC firing rate in the 1 to 40 SPM firing range results in a linear increase in the frequency of the feeding rhythm and this is due to a reduction in the duration of the N1M/protraction phase of the feeding cycle . At higher rates of CGC firing, the amplitude of the post-synaptic depolarization in the N1M is enhanced causing the earlier triggering of plateaus and a consequent reduction in the duration of the protraction phase of the feeding cycle . Stimulating the CGCs also increases the frequency of bursting in swallow phase motoneurons  and so frequency control happens at the motoneuronal level as well.
In a number of invertebrate systems, modulatory interneurons that drive CPG activity receive feedback from the CPG they control resulting in their spike activity being entrained to the motor rhythm. It has been suggested that this type of reciprocal interaction provides positive feedback within the network that has a role in maintaining rhythmic patterns . Evidence for this type of mechanism exists in the Lymnaea feeding system. Neurons such as the SO (a single cell, Figure 1B) can initiate feeding patterns in the CPG when artificially stimulated into tonic activity by current injection . Once the feeding rhythm commences in the CPG, the SO becomes rhythmically active (Figure 2A) due to synaptic inhibitory feedback from CPG interneurons such as the N2vs (Figure 2B, left). The SO has no endogenous capability to oscillate . The SO has strong excitatory monosynaptic connections with the N1M CPG interneuron [36, 50] and fires just before it in the same protraction phase of the feeding cycle (Figure 2A). The SO thus provides a component of the depolarizing synaptic input that triggers the N1M plateau. Suppressing activity in the SO by current injection in a sucrose-driven rhythm does not prevent the occurrence of a feeding pattern in the CPG , indicating that it is not part of the CPG. However, in the absence of SO spiking, rhythmic activity in the CPG is not maintained. It slows in frequency and becomes irregular . It has previously been shown  that the SO controls the frequency of CPG oscillation when stimulated to fire at different rates by current injection so both frequency control and maintenance of the regular feeding pattern depend on the SO. This data indicate that the core N1M-N2v oscillator alone is not able to generate the regular, high frequency pattern observed with strong feeding stimulus such as sucrose in the intact animal. This was not unexpected since previous attempts to drive the CPG by 'maximum' current injection into the N1M showed that it is incapable of generating high frequency feeding patterns, unlike the SO . This ability of the SO to maintain and control the frequency of the CPG rhythm by changing the duration of the protraction phase of the feeding cycle was reproduced by computer modeling of the synaptic connections and firing patterns of the SO and CPG interneurons  that had been revealed by electrophysiological recording.
These results on the SO are incompatible with the hierarchical model of the feeding network which had suggested that the SO was a command-like neuron involved in feeding initiation  but rather indicate that it is part of the modulatory network controlling feeding (Figure 1C).
The three OCs are not considered to be part of the CPG because a basic feeding rhythm can occur when they are silent. However, they definitely modulate the feeding network. They receive rhythmic synaptic inputs from the CPG during fictive feeding in isolated preparations and have synaptic output connections with the CPG interneurons (Figure 1C) although not with the CGCs . The function of the OCs is to augment the ability of the feeding CPG and CBIs to generate strong high frequency rhythms. The most interesting feature of OC function is the ability to provide long-duration 'polycyclic' modulation of the feeding CPG. Single or multiple 'prepulse' stimulation of an OC cell or application of octopamine facilitates the subsequent response to SO  or food stimulation  over many cycles. This contrasts with the SO whose modulatory effects are 'intracyclic' acting repeatedly during a sequence of feeding but having a duration that is always within one cycle. This long duration feeding response from OC stimulation is mainly due to slow depolarizing synaptic responses that the OCs have on protraction-phase neurons such as the N1Ms, N1Ls and the SO whose effects extend over several feeding cycles. With repeated stimulation of the OCs, these depolarizing synaptic responses are facilitated and can drive the N1Ms into prolonged rhythmic plateauing. Another component of the polycyclic mechanism derives from the ability of the OCs to increase the strength of the synaptic excitatory output connections that the SO and N1L have with the N1Ms . Like the direct effects of the OCs on the N1M, these heterosynaptic effects of OC stimulation are facilitated by repeated stimulation of the OCs. The suggested mechanism is presynaptic facilitation as the SO neurons have lower action potential threshold after the end of OC activity . As well as influencing the strength of synaptic connections OCs/octopamine also increase the endogenous excitability of feeding motoneurons and interneurons making them more responsive to synaptic input. In two cell types, the B1 and B4 motoneurons , octopamine increases the size of a fast inward sodium current and this accounts for the ability of the cells to generate more action potentials to a standard depolarizing stimulus.
Hunger and satiety
Another example of modulation that contributes to the flexibility of feeding behavior is hunger and satiety, a motivational/behavioral state mechanism. One type of satiety mechanism controls the frequency of spontaneous feeding cycles and a second type controls meal length.
Hunger and satiety have no effect on the feeding responses to a strong feeding stimulus such as sucrose but they do have an influence on the frequency of spontaneous rasping movements that occur in the absence of food. These are greater in starved compared with well-fed snails . Spontaneous feeding movements are considered to be part of appetitive exploratory behavior and would be expected to increase in hungry animals. By recording the patterns of 'fictive feeding' activity from motoneurons in isolated brains it was possible to find a neural correlate of this motivational effect, so that preparations made from hungry snails were more likely to show high frequency bouts of fictive feeding activity . Given that the neural correlate of hunger and satiety was recorded in a completely isolated ganglion, the effects must be due to a central mechanism that controls spontaneous feeding activity. One of the central controllers of spontaneous feeding is the N3t CPG interneuron and this cell is involved in mediating the effects of hunger and satiety. As was described earlier, the N3ts fire tonically to inhibit the N1M cells and the rate of this tonic activity determines the level of activity in the whole feeding CPG. By comparing the rates of firing in isolated ganglia it was found that the N3t firing frequency was higher in satiated compared with starved snails and that this was inversely correlated to the frequency of spontaneously fictive feeding cycles . Thus one of the mechanisms for control of spontaneous feeding by hunger and satiety is due to the regulation of tonic inhibitory inputs to the CPG (Figure 4D).
However, the role of inhibition in hunger and satiety control is not confined to the CPG. There are large spontaneous inhibitory postsynaptic potential (IPSP) inputs recorded in the CV1a (CBI) interneurons that control their level of activity. Like the N3ts, the frequency of this inhibitory input is significantly greater in satiated compared with hungry animals . This inhibition of the CBIs recently has been found to originate from the peptidergic pleural interneuron (PlB, pleural-buccal neuron) that has widespread inhibitory effects on the feeding circuit . Like the N3t the PlB cell fires in a tonic pattern and presumably its spiking activity is modulated by hunger and satiety, although this remains to be confirmed by direct recording.
Another type of satiety mechanism relies on sensory activation of mechanoreceptors that respond to the distension of the esophagus . From three to five esophageal mechanoreceptors (OMs) occur in each buccal ganglia (one is shown in Figure 1B to indicate location) and their axons project to the proesophageal region of the gut that lies immediately behind the buccal mass. The EMs respond to experimental gut extensions with high frequency firing suggesting that they are involved in detecting the presence of food in the gut that is normally distended by the ingestion of bulk plant material. The EMs adapt their firing rates during artificially maintained distensions but the rhythmic gut movements observed during peristaltic movement of food through the gut are likely to maintain activity in the EMs. The EMs have extensive synaptic connections with neurons of the feeding circuit and they inhibit several types of CPG interneurons and the SO . Stimulation of a single EM is sufficient to slow or inhibit a SO-driven rhythm providing the appropriate inhibitory effects on the feeding circuit to mediate satiety. Therefore it seems likely that the EMs act to control the level of food intake to control meal or bout length. They also could prevent overloading of the gut. The satiety mechanism based on EM mechanical stimulation relies on the continued presence of sensory input and appears to be distinct from the N3t-mediated satiety mechanism that persists in the isolated ganglia.
Initiation of feeding
In the hierarchical model, the SO and CBI interneurons (for example, CV1a) were considered to be at the top of the hierarchy acting as command cells for the initiation of feeding (Figure 6A). This model originated from experiments where activation of the SO and CV1a by intracellular current injection in isolated CNS preparations was shown to initiate and maintained a fictive feeding rhythm [41, 50]. The detailed phase characteristics of these SO and CV1a-driven rhythms resembled those recorded in the semi-intact preparation when feeding movements of the buccal mass were initiated by sugar applied to the lips. CV1a and SO alone could both drive a feeding rhythm because of their monosynaptic excitatory connections to the N1M neurons of the CPG. They did so independently because there were no synaptic connections between the two cell types . Subsequent suppression experiments when chemical stimuli were used to drive feeding patterns showed that the SO was not necessary for feeding initiation but had a modulating role in maintaining and controlling the frequency of the feeding pattern . The CV1a and other CBIs were subsequently confirmed to be part of the initiation system by showing that are consistently active during food-activated rhythms and that their activity is necessary for the early activation of feeding patterns in sucrose-driven rhythms  (Figure 3). However, the CPG interneurons like the N1Ms also receive direct chemosensory input from the lips and this can activate a feeding rhythm independently of the CBIs  so the CBIs do not act alone in feeding activation. This data indicate that feeding initiation is distributed between the CBIs and N1Ms (Figure 6B) and that their relationship is non-hierarchical. In this new model, the SO cell is considered to be part of a distributed modulatory system (Figure 6B).
The role of the CPG interneurons in rhythm generation is clearly established. The generation of the rhythm depends on the plateauing properties of the N1Ms and N2vs and post-inhibitory rebound in the N3ts [26, 30]. The sequence of firing in these cells is determined by their synaptic connectivity so the CPG firing pattern depends on both endogenous and network properties distributed across the whole CPG interneuronal network. More detailed studies on the role of the motoneurons made it clear that they are part of the rhythm generation mechanism as well as generating muscle contractions . They are therefore not just followers of the CPG interneurons as indicated in the hierarchical model (Figure 6A) but are multifunctional and form part of a distributed CPG network as well (Figure 6B).
Specifying the network roles of modulatory neurons is more difficult because of their diverse and overlapping functions. However it is clear that the distributed model of the feeding network fits them well (Figure 6B). The CGCs are extrinsic to the core CPG circuit and are involved in both gating and frequency control, sharing the latter role with the SO. The N1L cell type appears to have several functions in the feeding network . It has intimate synaptic connections with the rest of the CPG network indicating that it might be part of the CPG but unlike a CPG interneuron like the N1M it can drive a strong feeding activity in the feeding network . It is suggested that this is due to modulatory effects on the protraction phase of the feeding rhythm produced by a strong chemically-mediated synaptic connection with the N1M interneurons. The OC interneurons also have complex connections with the rest of the feeding network , without appearing to be part of the CPG. Like the SO they appear to be involved in maintaining and strengthening rhythmic activity, but unlike the SO this involves polycyclic synaptic and modulatory effects on the majority of cells in the feeding network giving the cells a global role in network function . The N3ts are particularly interesting in that they are a target for central behavioral state control mechanisms (Figure 4), as well as having a dual role in behavioral switching and pattern generation . The periods of quiescence shown by the Lymnaea between bouts of feeding movements are due to tonic inhibition of the feeding CPG by the N3ts that is dominant in the absence of a food stimulus or when the animal is satiated (Figure 4). N3ts thus have state-dependent modulatory inhibitory functions controlling activity in the CPG as well being a member of the CPG (Figure 6B) and are the epitome of a multifunctional neuron.
What are the advantages of having a distributed network?
Recording experiments show that neurons vary a lot in their detailed firing patterns for instance the number of spikes in a burst and the strength of synaptic connections vary a lot from preparation to preparation [5, 23]. Having complimentary and potentially alternative neuronal substrates for network functions may be a mechanism for improving the robustness of behavioral responses in what is a 'noisy' network. In a pure example of a distributed network, all the neurons of the network would contribute to all the required network functions but this is not the case in Lymnaea where a more limited or partial type of distributed organization exists with some specialization of function. It can be argued that this type of distributed network that has evolved for Lymnaea feeding offers advantages from the point of view of robustness without the need for excessive redundancy that occurs in wholly distributed networks where there are often duplicate sets of similar neurons. Sharing functions in a distributed network also would be 'economically' sensible in the Lymnaea feeding system where only approximately 100 neurons are available to carry a variety of complex tasks such as decision making, rhythm generation, motivation and memory formation [11–13].
Buccal 1 (motoneuron)
Buccal 2 (motoneuron)
Buccal 3 (motoneuron)
Buccal 4 (motoneuron)
Buccal 4 cluster (motoneurons)
Buccal 5 (motoneuron)
Buccal 6 (motoneuron)
Buccal 7 (motoneuron)
Buccal 8 (motoneuron)
Buccal 9 (motoneuron)
Buccal 10 (motoneuron)
Cerebral anterior 1 (cerebrobuccal interneuron)
Cerebral giant cell (modulatory interneuron)
Cerebral lateral 1 (cerebrobuccal interneuron)
Cerebral tentacle 1 (cerebrobuccal interneuron)
Cerebral tentacle 2 (cerebrobuccal interneuron)
Cerebral tentacle 3 (cerebrobuccal interneuron)
Cerebral ventral 1a (cerebrobuccal interneuron)
Cerebral ventral 1b (cerebrobuccal interneuron)
Cerebral ventral 1c (cerebrobuccal interneuron)
Cerebral ventral 3 (motoneuron)
Cerebral ventral 5 (motoneuron)
Cerebral ventral 6 (motoneuron)
Cerebral ventral 7 (motoneuron)
N1 medial (central pattern generator interneuron)
N1 Lateral (modulatory interneuron/central pattern generator interneuron)
N2 dorsal (central pattern generator interneuron)
N2 ventral (central pattern generator interneuron)
N3 phasic (central pattern generator interneuron)
N3 tonic (central pattern generator/modulatory interneuron)
Octopamine-containing interneuron (modulatory)
Pleural buccal neuron (inhibitory interneuron)
Slow oscillator (modulatory interneuron).
I thank Dr Ildiko Kemenes and Dr Kevin Staras for their help in producing the figures and the BBSRC for financial support.
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