Investigating dynamic aspects of brain function in slice preparations: spatiotemporal stimulus patterns generated with an easy-to-build multi-electrode array

Electrical stimulation of nervous tissue with single stimulating electrodes is a technique widely used for the investigation of nervous system function. While it has proved to be useful in all kinds of experiments, single electrode stimuli are, however, far from being 'natural'. In most parts of the living brain, incoming activity results from the firing of a large number of presynaptic neurons, thus reflecting a complex combination of space and time aspects of neural activity. In this paper, a multi-electrode stimulating system is introduced which allows for the generation of fast space-time stimulus patterns. An example for the application of dynamic input patterns to the cerebellar cortex in vitro is given. The corresponding experiments revealed aspects of cerebellar function which cannot be seen using static or single electrode stimulation.

[1]  V. Braitenberg,et al.  Morphological observations on the cerebellar cortex , 1958, The Journal of comparative neurology.

[2]  D. Sparks,et al.  Population coding of saccadic eye movements by neurons in the superior colliculus , 1988, Nature.

[3]  E. Vaadia,et al.  Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. , 1993, Journal of neurophysiology.

[4]  Walter Heiligenberg,et al.  Temporal hyperacuity in single neurons of electric fish , 1988, Nature.

[5]  R. Llinás,et al.  General Discussion: Radial Connectivity in the Cerebellar Cortex: A Novel View Regarding the Functional Organization of the Molecular Layer , 1982 .

[6]  Ad Aertsen,et al.  Coding and Computation in the Cortex: Single-Neuron Activity and Cooperative Phenomena , 1992 .

[7]  G. Hartmann,et al.  Parallel Processing in Neural Systems and Computers , 1990 .

[8]  Valentino Braitenberg,et al.  Information Processing in the Cortex , 1992, Springer Berlin Heidelberg.

[9]  G L Gerstein,et al.  Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. , 1988, Journal of neurophysiology.

[10]  Ad Aertsen,et al.  Dynamics of Activity in Neuronal Networks Give Rise to Fast Modulations of Functional Connectivity , 1990 .

[11]  S. Palay,et al.  The Cerebellum—New Vistas , 1982 .

[12]  Alessandro E. P. Villa,et al.  Evidence for spatiotemporal firing patterns within the auditory thalamus of the cat , 1990, Brain Research.

[13]  D. Heck.  Rat cerebellar cortex in vitro responds specifically to moving stimuli , 1993, Neuroscience Letters.

[14]  R. Harvey,et al.  Number of parallel fiber synapses on an individual Purkinje cell in the cerebellum of the rat , 1988, The Journal of comparative neurology.

[15]  T. Bliss,et al.  Long‐lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path , 1973, The Journal of physiology.

[16]  W. Penfield,et al.  The Cerebral Cortex of Man: A Clinical Study of Localization of Function , 1968 .

[17]  J. Bower,et al.  Congruence of spatial organization of tactile projections to granule cell and Purkinje cell layers of cerebellar hemispheres of the albino rat: vertical organization of cerebellar cortex. , 1983, Journal of neurophysiology.

[18]  Haim Sompolinsky,et al.  Associative network models for central pattern generators , 1989 .

[19]  C. Koch,et al.  Synaptic background activity influences spatiotemporal integration in single pyramidal cells. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[20]  G. P. Moore,et al.  SENSITIVITY OF NEURONES IN APLYSIA TO TEMPORAL PATTERN OF ARRIVING IMPULSES. , 1963, The Journal of experimental biology.

[21]  George L. Gerstein,et al.  Cortical auditory neuron interactions during presentation of 3-tone sequences: effective connectivity , 1988, Brain Research.

[22]  M K Habib,et al.  Dynamics of neuronal firing correlation: modulation of "effective connectivity". , 1989, Journal of neurophysiology.

[23]  M. Konishi,et al.  Segregation of stimulus phase and intensity coding in the cochlear nucleus of the barn owl , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[24]  Idan Segev,et al.  Methods in Neuronal Modeling , 1988 .

[25]  V. Braitenberg.  The cerebellum revisited , 1983 .

[26]  G. M. Shambes,et al.  Multiple tactile areas in cerebellar cortex: another patchy cutaneous projection to granule cell columns in rats , 1978, Brain Research.

[27]  W. Singer,et al.  Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties , 1989, Nature.

[28]  Idan Segev,et al.  The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells , 1992, Neural Computation.

[29]  M. Konishi,et al.  A circuit for detection of interaural time differences in the brain stem of the barn owl , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[30]  A. Aertsen,et al.  Dynamic Aspects of Neuronal Cooperativity: Fast Stimulus-Locked Modulations of Effective Connectivity , 1991 .