How to Build a Brain: A Neural Architecture for Biological CognitionOxford University Press, 16 avr. 2013 - 352 pages How 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. |
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How to Build a Brain: A Neural Architecture for Biological Cognition Chris Eliasmith Aucun aperçu disponible - 2015 |
Expressions et termes fréquents
ACT-R activity approaches areas basal ganglia behavior binding binding problem biological cognition brain capture cells chapter characterization circular convolution clean-up memory Click cognitive architecture cognitive systems complex compute concepts connection weights connectionism connectionist Consequently consider context cortex cortical decoding deep semantics demonstrate described detail determine dimensions discussed dot product dynamics Eliasmith encoding ensemble error example fMRI function graph hierarchy identify implementation input integrator Interactive Plots kind Leabra learning linear LISA mapping matrix motor Nengo neural representation neurotransmitter nodes nonlinear number of neurons output parameters perceptual performance population processing receptive field relevant represent response result Right-click robustness role rule scalar Section semantic pointers shown in Figure signal similar simulation Spaun specific spiking striatum structured representations suggested symbolic syntactic task tensor products thalamus theory tion Tower of Hanoi transformation tuning curves tutorial variable vector space visual