An unsupervised neural network model for the development of reflex co-ordination. Export

@article{citeulike:709246, abstract = {In this paper, we present a model for the development of connections between muscle afferents and motoneurones in the human spinal cord. The model consists of a limb with six muscles, one motoneurone pool, one pooled (Ia-like) afferent for each muscle and a central programme generator. The weights of the connections between the afferents and the motoneurone pools are adapted during centrally induced movements of the limb. The connections between the afferents and the motoneurone pools adapt in a hebbian way, using only local information present at the synapses. This neural network is tested in two examples of a limb with two degrees of freedom and six muscles. Despite the simplifications, the model predicts the pattern of autogenic and heterogenic monosynaptic reflexes quite realistically.}, address = {Utrechts Biofysica Instituut, Buys Ballot Laboratorium, Rijksuniversiteit te Utrecht, The Netherlands.}, author = {Smeets, J. B. and van der Gon, J. J.}, citeulike-article-id = {709246}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/8186302}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=8186302}, citeulike-linkout-2 = {http://www.fbw.vu.nl/~JSmeets/1994/Neural_net-BCY94.pdf}, issn = {0340-1200}, journal = {Biol Cybern}, keywords = {development, learning, reflex, spinal, unsupervised}, number = {5}, pages = {417--425}, posted-at = {2006-06-23 18:50:34}, priority = {2}, title = {An unsupervised neural network model for the development of reflex co-ordination.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/8186302}, volume = {70}, year = {1994} }

TY - JOUR ID - citeulike:709246 L3 - citeulike-article-id:709246 N2 - In this paper, we present a model for the development of connections between muscle afferents and motoneurones in the human spinal cord. The model consists of a limb with six muscles, one motoneurone pool, one pooled (Ia-like) afferent for each muscle and a central programme generator. The weights of the connections between the afferents and the motoneurone pools are adapted during centrally induced movements of the limb. The connections between the afferents and the motoneurone pools adapt in a hebbian way, using only local information present at the synapses. This neural network is tested in two examples of a limb with two degrees of freedom and six muscles. Despite the simplifications, the model predicts the pattern of autogenic and heterogenic monosynaptic reflexes quite realistically. IS - 5 JF - Biol Cybern SN - 0340-1200 AD - Utrechts Biofysica Instituut, Buys Ballot Laboratorium, Rijksuniversiteit te Utrecht, The Netherlands. EP - 425 TI - An unsupervised neural network model for the development of reflex co-ordination. VL - 70 SP - 417 KW - development KW - learning KW - reflex KW - spinal KW - unsupervised AU - Smeets, JB AU - van der Gon, JJ PY - 1994/// UR - http://view.ncbi.nlm.nih.gov/pubmed/8186302 ER -