Buy New

or
Sign in to turn on 1-Click ordering.
Buy Used
Used - Good See details
Price: £14.40

or
 
   
Trade in Yours
For a £11.36 Gift Card
Trade in
More Buying Choices
Have one to sell? Sell yours here

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience) [Paperback]

Peter Dayan
4.0 out of 5 stars  See all reviews (1 customer review)
RRP: £33.95
Price: £31.30 Eligible for FREE UK Delivery Details
You Save: £2.65 (8%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Only 5 left in stock (more on the way).
Dispatched from and sold by Amazon. Gift-wrap available.
Want it tomorrow, 31 July? Choose Express delivery at checkout. Details
‹  Return to Product Overview

Inside This Book

(Learn More)
Browse and search another edition of this book.
First Sentence
Neurons are remarkable among the cells of the body in their ability to propagate signals rapidly over large distances. Read the first page
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Search inside this book:

Concordance (Learn More)
These are the most frequently used words in another edition of this book.
100  action  activity  al  analysis  average  between  cable  called  case  causes  cell  change  channels  chapter  components  conductance  constant  current  curve  data  difference  different  direction  distribution  during  effects  entropy  equal  equation  estimate  et  example  factor  field  figure  firing  fixed  form  frequency  function  given  image  information  input  interval  learning  linear  location  matrix  means  membrane  method  model  ms  must  network  neural  neuron  number  output  parameters  patterns  phase  point  potential  probability  rate  receptive  recurrent  region  response  result  reward  rule  set  shows  single  spatial  spike  state  stimuli  stimulus  sum  synaptic  temporal  terms  thus  time  trial  tuning  two  units  use  used  value  variable  vector  visual  weights 
‹  Return to Product Overview