How to Build a Brain: A Neural Architecture for Biological CognitionHow to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model. |
Other editions - View all
How to Build a Brain: A Neural Architecture for Biological Cognition Chris Eliasmith Limited preview - 2013 |
How to Build a Brain: A Neural Architecture for Biological Cognition Chris Eliasmith No preview available - 2015 |
Common terms and phrases
ACT-R activity Anderson approaches areas basal ganglia behavior binding biological cognition brain capture cells chapter characterization circular convolution clean-up memory Click cognitive architecture cognitive science cognitive systems complex computational concepts connection weights connectionism connectionist context cortical decoding deep semantics demonstrate described detail dimensions discussed dot product dynamics Eliasmith encoding ensemble error example fMRI function graph hierarchy human identify implementation input integrator Interactive Plots kind Leabra learning linear LISA mapping matrix mechanisms motor Nengo neural representation Neuroscience neurotransmitter nodes nonlinear number of neurons output parameters perceptual performance population prefrontal cortex processing receptive field reinforcement learning relevant represent response result Right-click robustness role rule scalar Section semantic pointers shown in Figure signal similar simulation Spaun specific striatum structured representations suggested symbolic synaptic syntactic task thalamus theory tion Tower of Hanoi transformation tuning curves tutorial variable vector space