LOGiN PANeL

«    November 2026    »
MoTuWeThFrSaSu
 1
2345678
9101112131415
16171819202122
23242526272829
30 
PoLL





eBooks Tutorials Templates Plugins Scripts Applications GFX Collections SCRiPTMAFiA.ORG
LaST oN NULLeD.org
XML error in File: https://nulled.org/rss.xml XML error: Entity 'bull' not defined at line 68

RSS
RSS

FRiENDS
Nulled.org Software 8TM URL Shortener Forex Trading Crypto Trading {sape_teaser}



Stoyanov D Computational Neuroscience 2023

Category: eBooks



Stoyanov D  Computational Neuroscience 2023

Stoyanov D Computational Neuroscience 2023 | 8.74 MB
English | 275 Pages

Title: Computational Neuroscience
Author: Paul Miller
Year: 2018




Description:
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain.
The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding.
Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a "flipped" or "inverted" teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.

DOWNLOAD:

https://rapidgator.net/file/58e859228acd587a22810e318da1b126/Stoyanov_D._Computational_Neuroscience_2023.rar
https://uploadgig.com/file/download/507c0f644aC1e8eb/Stoyanov_D._Computational_Neuroscience_2023.rar


   
   
   


Forex Trading

Crypto Trading. 20 USD Bonus after KYC




We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm





 

Information

 
  Users of GUESTS are not allowed to comment this publication.