• Summary
  • Contents
  • Subject index

This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. This non-technical guide shows how basic knowledge and modern computers can be combined for interesting simulations, progressing from early exercises utilizing spreadsheets, to simple programs in Python.

Key Features include: Interleaved chapters that show how traditional computing constructs are simply disguised versions of the spreadsheet methods; Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for context; Numerous worked examples to demonstrate the themes and procedures of cognitive modelling.

An excellent text for upper-level undergraduate and postgraduate students taking courses in research methods, computational neuroscience / computational modelling, and cognitive science / neuroscience. It will be especially valuable to psychology students.

ACT-R: A Cognitive Architecture
ACT-R: A cognitive architecture

After reading this chapter you should be able to:

  • understand the basic structure of an ACT-R program;
  • understand how ACT-R programs are built out of productions; and
  • use ACT-R and Lisp to build a simple cognitive architecture for playing rock-paper-scissors.
21.1 Overview

We have introduced logic, Boolean variables, and their use for creating if–then rules called productions. We even implemented a simple production ...

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