On the relevance of the neurobiological analogue of the finite-state architecture Export

@article{Petersson05, abstract = {We present two simple arguments for the potential relevance of a neurobiological analogue of the finite-state architecture. The first assumes the classical cognitive framework, is well-known, and is based on the assumption that the brain is finite with respect to its memory organization. The second is formulated within a general dynamical systems framework and is based on the assumption that the brain sustains some level of noise and/or does not utilize infinite precision processing. We briefly review the classical cognitive framework based on Church\&\#x2013;Turing computability and non-classical approaches based on analog processing in dynamical systems. We conclude that the dynamical neurobiological analogue of the finite-state architecture appears to be relevant, at least at an implementational level, for cognitive brain systems.}, author = {Petersson, K.}, citeulike-article-id = {3739612}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neucom.2004.10.108}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0925231204004680}, doi = {10.1016/j.neucom.2004.10.108}, issn = {09252312}, journal = {Neurocomputing}, keywords = {artificial-grammar, cognition, cognitive-architecture, language}, month = {June}, pages = {825--832}, posted-at = {2008-12-03 10:43:52}, priority = {2}, title = {On the relevance of the neurobiological analogue of the finite-state architecture}, url = {http://dx.doi.org/10.1016/j.neucom.2004.10.108}, volume = {65-66}, year = {2005} }

TY - JOUR ID - Petersson05 L3 - citeulike-article-id:3739612 N2 - We present two simple arguments for the potential relevance of a neurobiological analogue of the finite-state architecture. The first assumes the classical cognitive framework, is well-known, and is based on the assumption that the brain is finite with respect to its memory organization. The second is formulated within a general dynamical systems framework and is based on the assumption that the brain sustains some level of noise and/or does not utilize infinite precision processing. We briefly review the classical cognitive framework based on Church–Turing computability and non-classical approaches based on analog processing in dynamical systems. We conclude that the dynamical neurobiological analogue of the finite-state architecture appears to be relevant, at least at an implementational level, for cognitive brain systems. JF - Neurocomputing SN - 09252312 EP - 832 TI - On the relevance of the neurobiological analogue of the finite-state architecture VL - 65-66 SP - 825 KW - artificial-grammar KW - cognition KW - cognitive-architecture KW - language AU - Petersson, K PY - 2005/06// UR - http://dx.doi.org/10.1016/j.neucom.2004.10.108 ER -