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Advances in Cognitive Neurodynamics: Proceedings of the by Rubin Wang, Fanji Gu, Enhua Shen

By Rubin Wang, Fanji Gu, Enhua Shen

This quantity includes the complaints of the first foreign convention on Cognitive Neurodynamics held in Shanghai, November 17-21, 2007. The contributors have been handled to a thrilling and stimulating convention that left every person with an enthusiastic imaginative and prescient for the way forward for the sector. the newest very important growth was once coated by way of thirteen mini-symposia together with: types of psychological issues; Cognitive Machines; Dynamics in studying and reminiscence; imperative anxious approach synchronization; Neuroinformatics; Cognitive Computational Modeling of Human Language Processing; Cognitive Neurodynamics of awareness; Bottom-Up and Top-Down; mind Networks; From Anatomy to Dynamics; Translational Cognitive Neuroimaging; K-sets; thought and functions; complex sign Processing recommendations for mind facts research; visible cortex: info processing and dynamics; Dynamics of Firing styles and Synchronization in Neuronal structures.

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Extra info for Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics - 2007

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These results raised doubts concerning one of the predictions of classic theories of cerebellar learning. Preliminary results of this work were presented at scientific meetings in 2000 and a subset of the results, describing the effect of cerebellar LTD on somatic excitatory postsynaptic potentials and their dependence on pattern number and size was published as a conference proceeding [4]. A first manuscript describing the modeling results was submitted to the journal Neuron end of 2002, but returned without review as the editor did not consider a modeling study without experimental verification of sufficient general interest.

Detailed procedures can be found in [1]. This work led already in 2000 to a very surprising conclusion. In the presence of simulated in vivo simple spike firing, the only criterion that could be used to distinguish the responses to learned patterns was the length of the simple spike pause that followed the presentation of a PF pattern. Contrary to the classic view, learned patterns elicited shorter pauses and resulted therefore in an increased Purkinje cell output. These results raised doubts concerning one of the predictions of classic theories of cerebellar learning.

Depireux et al. spectro-temporal envelope, allowing for feature transients to exist independent of level transients, something difficult to control when using natural sounds. Reference [3] detailed some important properties of STRFs in cortex: in particular the “separability” of the STRF can be modeled as arising from the existence of two populations of cells earlier in the auditory pathway, called lagged and non-lagged cells [4]. If the observed cortical separability arises from lagged and non-lagged cells (and we have since found there exist two such populations in the inferior colliculus), it implies that the tuning of a cortical cell should evolve in time: upon new spectro-temporal content, the non-lagged cells will provide the early input to the cortical cells, and therefore, the initial tuning.

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