Differences in Spiking Patterns Among Cortical Neurons
نویسندگان
چکیده
Spike sequences recorded from four cortical areas of an awake behaving monkey were examined to explore characteristics that vary among neurons. We found that a measure of the local variation of interspike intervals, L(V), is nearly the same for every spike sequence for any given neuron, while it varies significantly among neurons. The distributions of L(V) values for neuron ensembles in three of the four areas were found to be distinctly bimodal. Two groups of neurons classified according to the spiking irregularity exhibit different responses to the same stimulus. This suggests that neurons in each area can be classified into different groups possessing unique spiking statistics and corresponding functional properties.
منابع مشابه
(S)- 3,5-Dihydroxyphenylglycine )an agonist for group I metabotropic glutamate receptors( induced synaptic potentiation at excitatory synapses on fast spiking GABAergic cells in visual cortex
Introduction: (S)- 3,5-Dihydroxyphenylglycine (DHPG) is an agonist for group I metabotropic glutamate receptors. DHPG-induced synaptic depression of excitatory synapses on hippocampal pyramidal neurons is well known model for synaptic plasticity studies. The aim of the present study was to examine the effects of DHPG superfusion on excitatory synapses on pyramidal and fast-spiking GABAergic cel...
متن کاملResponses of primary somatosensory cortical neurons to controlled mechanical stimulation.
The results of psychophysical studies suggest that displacement velocity may contribute significantly to the sensation of subcortical somatosensory neurons. The cortical correlates of these phenomena, however, are not known. In the present study the responses of rapidly adapting (RA) neurons in the forelimb region of cat primary somatosensory cortex (SI) to controlled displacement of skin and h...
متن کاملA spiking neuron model of cortical broadcast and competition.
This paper presents a computer model of cortical broadcast and competition based on spiking neurons and inspired by the hypothesis of a global neuronal workspace underlying conscious information processing in the human brain. In the model, the hypothesised workspace is realised by a collection of recurrently interconnected regions capable of sustaining and disseminating a reverberating spatial ...
متن کاملImproving the Izhikevich Model Based on Rat Basolateral Amygdala and Hippocampus Neurons, and Recognizing Their Possible Firing Patterns
Introduction: Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of neural interactions in the brain. Furthermore, it is important to be capable of modeling the potential neural activities to build precise artificial neural networks. The Izhikevich model is one of the simplest biolog...
متن کاملParameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.
Cortical information processing originates from the exchange of action potentials between many cell types. To capture the essence of these interactions, it is of critical importance to build mathematical models that reflect the characteristic features of spike generation in individual neurons. We propose a framework to automatically extract such features from current-clamp experiments, in parti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Neural computation
دوره 15 12 شماره
صفحات -
تاریخ انتشار 2003