14132.full - Explore Bristol Research
... forward sensory information to the cerebellum via spino-olivo-cerebellar pathways (nociceptive signals are reduced while proprioceptive signals are enhanced); (2) alterations in cerebellar nuclear output as revealed by changes in expression of Fos-like immunoreactivity; and (3) regulation of spinal ...
... forward sensory information to the cerebellum via spino-olivo-cerebellar pathways (nociceptive signals are reduced while proprioceptive signals are enhanced); (2) alterations in cerebellar nuclear output as revealed by changes in expression of Fos-like immunoreactivity; and (3) regulation of spinal ...
computational and in vitro studies of persistent activity
... Fig. 2. Excitatory and inhibitory mechanisms in an attractor network model for object working memory. (A) Example of network performance during a trial. The network consists of one pool of inhibitory neurons (upper rasters, labeled I) and six pools of excitatory neurons, five of them selective to di ...
... Fig. 2. Excitatory and inhibitory mechanisms in an attractor network model for object working memory. (A) Example of network performance during a trial. The network consists of one pool of inhibitory neurons (upper rasters, labeled I) and six pools of excitatory neurons, five of them selective to di ...
Free recall and recognition in a network model of the... simulating effects of scopolamine on human memory function
... should impair encoding of new words, but not the retrieval of a list of words learned before blockade of cholinergic effects [24,27]. (2) Effect of scopolamine on free recall, but not recognition. Blockade of cholinergic effects in the model during encoding of a list of words should impair the subse ...
... should impair encoding of new words, but not the retrieval of a list of words learned before blockade of cholinergic effects [24,27]. (2) Effect of scopolamine on free recall, but not recognition. Blockade of cholinergic effects in the model during encoding of a list of words should impair the subse ...
view - E-LIB Bremen - Universität Bremen
... can be modelled with high precision by using compact mathematical models with only few parameters. There are competitions held where the goal is to predict the electrical behavior of neuron, and these models reach a very high accuracy in the prediction of neuronal spike times [3]. With modern superc ...
... can be modelled with high precision by using compact mathematical models with only few parameters. There are competitions held where the goal is to predict the electrical behavior of neuron, and these models reach a very high accuracy in the prediction of neuronal spike times [3]. With modern superc ...
The Importance of Cognitive Architectures
... Cognitive architectures also provide a deeper level of explanation. Instead of a model specifically designed for a specific task (often in an ad hoc way), using a cognitive architecture forces modelers to think in terms of the mechanisms and processes available within a generic cognitive architectur ...
... Cognitive architectures also provide a deeper level of explanation. Instead of a model specifically designed for a specific task (often in an ad hoc way), using a cognitive architecture forces modelers to think in terms of the mechanisms and processes available within a generic cognitive architectur ...
A Hennessy-Milner Property for Many
... demanding but still interesting question is whether analogues of the HennessyMilner property (modal equivalence coincides with bisimilarity) hold for imagefinite models of many-valued modal logics. Modal equivalence between two states means in this context that each formula takes the same value in b ...
... demanding but still interesting question is whether analogues of the HennessyMilner property (modal equivalence coincides with bisimilarity) hold for imagefinite models of many-valued modal logics. Modal equivalence between two states means in this context that each formula takes the same value in b ...
Interactions between Adjacent Ganglia Bring About the Bilaterally
... embryonic nerve cord, the contralaterally homologousneuron takes on the mature AS phenotype in over 90% of the lesioned ganglia. Therefore, the choice as to which side of the ganglion will generatethe mature AS neuron is not wholly predetermined at the time theseneuronsare born, but rather, is contr ...
... embryonic nerve cord, the contralaterally homologousneuron takes on the mature AS phenotype in over 90% of the lesioned ganglia. Therefore, the choice as to which side of the ganglion will generatethe mature AS neuron is not wholly predetermined at the time theseneuronsare born, but rather, is contr ...
Organization of Cortical and Thalamic Input to Pyramidal Neurons in
... Figure 1. sCRACM reveals a lack of L2/3 inputs to PT-type neurons in the deeper half of L5B vibrissal motor cortex. A, Schematic depicting injection of retrograde tracer into pons to label PT-type neurons, in an animal previously treated with in utero electroporation of ChR2-mVenus into L2/3 pyramid ...
... Figure 1. sCRACM reveals a lack of L2/3 inputs to PT-type neurons in the deeper half of L5B vibrissal motor cortex. A, Schematic depicting injection of retrograde tracer into pons to label PT-type neurons, in an animal previously treated with in utero electroporation of ChR2-mVenus into L2/3 pyramid ...
Ontology learning from text based on multi
... and consistent generalizations4 . It is yet more difficult and complicated, due to the fact that usually many different specialists have to co-operate for this task, while they must agree on certain design choices5 . In addition, it is hard to organise a group of experts for each possible domain. An ...
... and consistent generalizations4 . It is yet more difficult and complicated, due to the fact that usually many different specialists have to co-operate for this task, while they must agree on certain design choices5 . In addition, it is hard to organise a group of experts for each possible domain. An ...
What makes a good model of natural images?
... Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non Gaussian, high dimensional, continuous signals, learning their distribution presents a tremendous computational challenge. ...
... Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non Gaussian, high dimensional, continuous signals, learning their distribution presents a tremendous computational challenge. ...
Information Processing at the Calyx of Held Under Natural Conditions
... that the nucleus generates one output spike for every incoming spike, thereby working as a sign-inverting relay. In terms of information processing this corresponds to a multiplication with -1, one of the easiest manipulations possible. How would more complex transformations look like? A cell with o ...
... that the nucleus generates one output spike for every incoming spike, thereby working as a sign-inverting relay. In terms of information processing this corresponds to a multiplication with -1, one of the easiest manipulations possible. How would more complex transformations look like? A cell with o ...
Fluctuations in Perceptual Decisions Panagiota Theodoni
... Logothetis 2013). We could, therefore, study with rigorous scientific ...
... Logothetis 2013). We could, therefore, study with rigorous scientific ...
Lycan Levels
... (1987, 43–44). And although the details of the example are fictitious, the example does show how, on his account, a psychological capacity is related to the relevant neurobiological activities. One way that face recognition might be carried out, Lycan suggests, is by implementing the following proce ...
... (1987, 43–44). And although the details of the example are fictitious, the example does show how, on his account, a psychological capacity is related to the relevant neurobiological activities. One way that face recognition might be carried out, Lycan suggests, is by implementing the following proce ...
Central Limit Theorems for Conditional Markov Chains
... Conditional Markov Chains, which will serve as the mathematical framework of the analysis. The main mathematical results are presented in Section 3. Using a result by Dobrushin (1956) for non-stationary Markov chains, a conditional Central Limit Theorem (where the sequence of observations is conside ...
... Conditional Markov Chains, which will serve as the mathematical framework of the analysis. The main mathematical results are presented in Section 3. Using a result by Dobrushin (1956) for non-stationary Markov chains, a conditional Central Limit Theorem (where the sequence of observations is conside ...
Preference Learning: An Introduction
... {yi x` yj | yi ∈ L` , yj ∈ Y \ P` }. A general framework encompassing these and other learning problems can be found in the chapter by Aiolli & Sperduti. In each of the former scenarios, a ranking model f : X → Sk is learned from a subset of all possible pairwise preferences. A suitable projection ...
... {yi x` yj | yi ∈ L` , yj ∈ Y \ P` }. A general framework encompassing these and other learning problems can be found in the chapter by Aiolli & Sperduti. In each of the former scenarios, a ranking model f : X → Sk is learned from a subset of all possible pairwise preferences. A suitable projection ...