Tiaza Bem

From swimming to walking: a single basic network for two different behaviors

Abstract. In this paper we consider the hypothesis that the spinal locomotor network controlling trunk movements has remained essentially unchanged during the evolutionary transition from aquatic to terrestrial locomotion. The wider repertoire of axial motor patterns expressed by amphibians would then be explained by the influence from separate limb pattern generators, added during this evolution. This study is based on EMG data recorded in vivo from epaxial musculature in the newt Pleurodeles waltl during unrestrained swimming and walking, and on a simplified model of the lamprey spinal pattern generator for swimming. Using computer simulations, we have examined the output generated by the lamprey model network for different input drives. Two distinct inputs were identified which reproduced the main features of the swimming and walking motor patterns in the newt. The swimming pattern is generated when the network receives tonic excitation with local intensity gradients near the neck and girdle regions. To produce the walking pattern, the network must receive (in addition to a tonic excitation at the girdles) a phasic drive which is out of phase in the neck and tail regions in relation to the middle part of the body. To fit the symmetry of the walking pattern, however, the intersegmental connectivity of the network had to be modified by reversing the direction of the crossed inhibitory pathways in the rostral part of the spinal cord. This study suggests that the input drive required for the generation of the distinct walking pattern could, at least partly, be attributed to mechanosensory feedback received by the network directly from the intraspinal stretch-receptor system. Indeed, the input drive required resembles the pattern of activity of stretch receptors sensing the lateral bending of the trunk, as expressed during walking in urodeles. Moreover, our results indicate that a nonuniform distribution of these stretch receptors along the trunk can explain the discontinuities exhibited in the swimming pattern of the newt. Thus, separate limb pattern generators can influence the original network controlling axial movements not only through a direct coupling at the central level but also via a mechanical coupling between trunk and limbs, which in turn influences the sensory signals sent back to the network. Taken together, our findings support the hypothesis of a phylogenetic conservatism of the spinal locomotor networks generating axial motor patterns from agnathans to amphibians.

Unrestrained walking in cats with medial pontine reticular lesions

The early postoperative effects of lesions, aimed to destroy the caudal pole of the nucleus reticularis pontis oralis (NRPO) and the rostral pole of the nucleus reticularis pontis caudalis (NRPC), were tested in freely moving cats, walking at moderate speed (0.4-1.0 m/s). In cats in which these structures were partly or completely destroyed, the main effect of lesions was an impairment of fore-hindlimb coordination, as shown by a change in the relationships between the lateral and diagonal time shift durations and the step cycle duration. In the second week after the surgery the values of the slopes of linear regressions relating these variables were markedly changed as compared to the preoperative data. The results suggest that the NRPO and NRPC are involved in maintaining the proper forehindlimb coordination during unrestrained locomotion in cats.

Stability of Anti-Phase and In-Phase Locking by Electrical Coupling but Not Fast Inhibition Alone

We consider a model network consisting of two identical neurons with inhibitory and electrical coupling and find conditions under which a particular type of coupling promotes stable in-phase locking, anti-phase behavior, or some other type of firing pattern. A traditional view is that fast inhibition leads to stable anti-phase behavior, while electrical coupling leads to stable in-phase locking. Here, we follow up with rigorous analysis our previous computational demonstration [T. Bem and J. Rinzel, J. Neurophysiol., 91 (2004), pp. 693–703] that this is not always the case. We give precise conditions, which depend on the intrinsic properties of the cells involved, for when this traditional view is not valid. In particular, if the cells have short duty cycles, then fast inhibitory coupling leads to an almost-in-phase solution in which short active phases of the two cells occur subsequently, one immediately after the other. Moreover, if the cells have short duty cycles, then a network with weak electrical c...

Multi-Stability and Pattern-Selection in Oscillatory Networks with Fast Inhibition and Electrical Synapses

A model or hybrid network consisting of oscillatory cells interconnected by inhibitory and electrical synapses may express different stable activity patterns without any change of network topology or parameters, and switching between the patterns can be induced by specific transient signals. However, little is known of properties of such signals. In the present study, we employ numerical simulations of neural networks of different size composed of relaxation oscillators, to investigate switching between in-phase (IP) and anti-phase (AP) activity patterns. We show that the time windows of susceptibility to switching between the patterns are similar in 2-, 4- and 6-cell fully-connected networks. Moreover, in a network (N = 4, 6) expressing a given AP pattern, a stimulus with a given profile consisting of depolarizing and hyperpolarizing signals sent to different subpopulations of cells can evoke switching to another AP pattern. Interestingly, the resulting pattern encodes the profile of the switching stimulus. These results can be extended to different network architectures. Indeed, relaxation oscillators are not only models of cellular pacemakers, bursting or spiking, but are also analogous to firing-rate models of neural activity. We show that rules of switching similar to those found for relaxation oscillators apply to oscillating circuits of excitatory cells interconnected by electrical synapses and cross-inhibition. Our results suggest that incoming information, arriving in a proper time window, may be stored in an oscillatory network in the form of a specific spatio-temporal activity pattern which is expressed until new pertinent information arrives.

Observational learning of a spatial discrimination task by rats: learning from the mistakes of others?

Learning by observing others has been acknowledged as a powerful learning strategy. Whereas in several species observation of fear conditioning or other operational procedures can improve subsequent performance during actual learning, much less attention has been paid to observational learning of spatial discrimination tasks. To this end, we developed a set of procedures in which the spatial memory of adult rats, Rattus norvegicus, was tested in an eight-arm radial maze. Moreover, in view of controversial information concerning the incidence of mistakes made by demonstrators on the effectiveness of observational learning, our observer rats watched experienced or nontrained demonstrators. Food-deprived observers and demonstrators were initially habituated to the maze with all arms baited. Then observers were placed in a mesh cage positioned above the maze while a demonstrator rat was locating the spatial position of three baited arms. Rats observing conspecifics progressively learning the spatial discrimination improved subsequent performance compared to a control group watching an empty maze, but only if the configuration of baited arms presented during demonstration and testing matched. Therefore, rats integrated relevant spatial information during observation and used it efficiently when their spatial discrimination was tested in the maze. However, when the information was provided by trained demonstrators, making no mistakes and visiting only baited arms, observer rats failed to exhibit improved performance. Nevertheless, when given an initial habituation without food rewards, rats were subsequently able to benefit from observation of trained demonstrators thus showing that watching mistakes was not necessary for successful observational learning. Together, these findings indicate that rats can acquire spatial information via observation enabling more pertinent search strategies during testing and that for observation to be beneficial, what is observed must be sufficiently relevant or novel to complement existing knowledge (here initial habituation with or without rewards).

Variety of Alternative Stable Phase-Locking in Networks of Electrically Coupled Relaxation Oscillators

We studied the dynamics of a large-scale model network comprised of oscillating electrically coupled neurons. Cells are modeled as relaxation oscillators with short duty cycle, so they can be considered either as models of pacemaker cells, spiking cells with fast regenerative and slow recovery variables or firing rate models of excitatory cells with synaptic depression or cellular adaptation. It was already shown that electrically coupled relaxation oscillators exhibit not only synchrony but also anti-phase behavior if electrical coupling is weak. We show that a much wider spectrum of spatiotemporal patterns of activity can emerge in a network of electrically coupled cells as a result of switching from synchrony, produced by short external signals of different spatial profiles. The variety of patterns increases with decreasing rate of neuronal firing (or duty cycle) and with decreasing strength of electrical coupling. We study also the effect of network topology - from all-to-all – to pure ring connectivity, where only the closest neighbors are coupled. We show that the ring topology promotes anti-phase behavior as compared to all-to-all coupling. It also gives rise to a hierarchical organization of activity: during each of the main phases of a given pattern cells fire in a particular sequence determined by the local connectivity. We have analyzed the behavior of the network using geometric phase plane methods and we give heuristic explanations of our findings. Our results show that complex spatiotemporal activity patterns can emerge due to the action of stochastic or sensory stimuli in neural networks without chemical synapses, where each cell is equally coupled to others via gap junctions. This suggests that in developing nervous systems where only electrical coupling is present such a mechanism can lead to the establishment of proto-networks generating premature multiphase oscillations whereas the subsequent emergence of chemical synapses would later stabilize generated patterns.

Inhibitory network of spiking neurons may express a sharp peak of synchrony at low frequency band

Spike synchronization remains an important issue in neuroscience, and inhibitory networks are the best candidates to provide such synchrony. Increasing evidence indicates that in many brain area inhibitory interneurons of similar properties make reciprocal connections. We found that a hybrid, as well as model network, consisting of two reciprocally inhibitory spiking neurons may express a peak of synchronization in a narrow range of low spiking frequencies in addition to classically described plateau of synchrony at a wide range of high frequencies. Occurrence of the low frequency peak of synchrony requires a moderate-to-strong inhibitory coupling and relatively fast synapses. This novel possibility of synchronization in a narrow range of network parameters may have an important implication in discrimination and encoding of signals of precise intensity, as well as in altering network ability to process information.