An information theoretical interpretation of neuronal activities

An information theoretical interpretation of neuronal activities

s175 AN INFORMATION THEORETICAL INTERPRETATION OF NEURONAL ACTIVITIES TETSUYA TAKAHASHI, Saitama, Japan. Laboratory for Neural Networks. RIKEN. ...

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s175

AN INFORMATION THEORETICAL INTERPRETATION OF NEURONAL ACTIVITIES TETSUYA TAKAHASHI, Saitama, Japan.

Laboratory

for Neural

Networks.

RIKEN.

Hirosawa

2-1,

Wakoshi,

When neurons in some part of the visual cortex respond to a set of stimuli with discernible differences in spike frequency, it is shown that the encoding of the network is the most efficient one in the sense of information theory. Moreover, we can show that the most efficient encoding gives rise to the propagation of information that is necessary for binding two different kinds of information ( for instance, a set of color stimuli and a set of orientation stimuli). Consequently, we can visualize the flow of information using data obtained from simultaneous observation of multiple cell activities such as optical recording and to give functional interpretations to the activities.

FLOW RULE OF CONDUCTIVITY DISTRIBUTION OF NEURAL NETWORK IN LEARNING AND PRODUCTION OF USEFUL TRANSFORMATIONS MITSUO TAKASE , Intelligent Systems Team Technology & Information Systems Development Department, Mitsubishi Atomic Power Industries. INC. 4-l Shibakouen Z-chome. Minato-ku. Tokyo 105 Japan When many input patterns are given continuously into neural network, we expect the distribution of synapse conductivities to change gradually. To know how the distribution flows gradually in the learning is thought to be a key factor to know how neural network obtains intelligence. Currently Hebb rule and roles of inhibitory cells are important elements which we should use to know the flow. I indicate the flow rule derived from Hebb rule and roles of inhibitory cells both of which contribute to minimize memory area for a same number of memorized patterns. I also indicate that the rule makes valuable transformations. There I give its computer simulation in two layer model by showing many patterns made from random numbers under some constraint conditions to the first layer.

30. Method THE USE OF 5,7-DIHYDROXYTRYPTAMINB AS A MARKER OF LIVING MONOAMINERGIC NEURONS OF THE RAT BRAIN Department of Physiolopg, Nagasaki YOSHIHIRO MATSUDA AND KOICHI FUJIMURA. Universi<~-School-o?--Medicine. 12-4 Sakamoto-machi, Nagasaki 862, Japan. 5,7_dihydroxytryptamine (5,7-DHT), a fluorescent serotonin analog, was applied to the rat brain slices in order to examine whether the substance could to mark monoaminergic neurons in the mammalian CNS be used without affecting approximately 100 pm thick, were prepared their viability. Slices, from the midbrain of young rats (5-20 days old). After pre-incubation, the preparation was treated for 30 min with a solution containing 5,7-DHT (lo-50 pM). Neurons that accumulated 5,7-DHT, emitting a blue fluorescence under ultraviolet excitation, observed in were the dorsal and median raphe while nuclei, fluorescent cells were not detected in the substantia nigra pars corpacta. This suggested that the labeled neurons were serotonergic cells. finding Intracombined with intracellular staining with ethidium cellular recording, bromide or Lucifer revealed that the neurons yellow, taking up 5,7-DHT retained excitability. The neurons exhibited similar reeponse characteristics to those reported for serotonergic raphe neurons, with the exception of transient the outward rectification which the latter neurons reportedly exhibit at the break of hyperpolarizing currents.