theoritical neuroscience 阅读笔记chsyrapter1

本文探讨了神经元如何通过发放脉冲序列来编码和解码信息,涉及神经元的基本属性、刺激响应记录方法及脉冲序列统计等内容。

帮助阅读,掌握知识

每段用一句话去概括

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1.1 introdunction

  neuros represent and transmit information by firing sequences of spikes in various temporal patterns, whereas neural coding/decoding involes relationship between stimulus and spikes.

  neural encoding:stimulus->response  neural decoding:response->stimulus

[properties of neuron]

neuron := (input->)dendrites->cell->axon->synapses(->output)

process of a neuron: ion channels, membrane potential, hyperpolariztion and depolarization, action potential, synapse with neurotrasmmiter

[recording neuronal responses]

[from stimulus to response]

it tells natural coding is difficult for relationship is complex and variable.

  neurons response= f ( stimulus, intrinsic dynamics, others)

  even same stimulus, trial of response may different.

population coding

 

1.2 sipke trains and firing rates

p(t), r(t), r, <r> := neural response function, firing rate, spike-count rate(1.6), trial average rate(1.7)

[measuring firing rates]

there are some methods for approxing firing rates from some trials.

[tuning curves]

tuning curve is a function from stilunus sttributes to response attributes like frequency.

[spike-count variability]

 

1.3 what makes a neuron fire

[describe the stimulus]

 

1.4 spike train ststistics

 

转载于:https://www.cnblogs.com/hongxia/p/4085771.html

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