The Basal Ganglia Anatomy, Physiology, etc. Overview
... School of Medicine Phelps Center for Cerebral Palsy & Neurodevelopmental Medicine, Kennedy Krieger Institute [email protected] ...
... School of Medicine Phelps Center for Cerebral Palsy & Neurodevelopmental Medicine, Kennedy Krieger Institute [email protected] ...
A Case for a Situationally Adaptive Many
... the application, as well as scalability. Such machine learning programs are also easily parallelizable, which is expected to be helpful for problems involving larger complexity. Hardware support for MLP-like systems is also showing promise, with IBM’s Truenorth chip being an example. This is just on ...
... the application, as well as scalability. Such machine learning programs are also easily parallelizable, which is expected to be helpful for problems involving larger complexity. Hardware support for MLP-like systems is also showing promise, with IBM’s Truenorth chip being an example. This is just on ...
Fine-scale specificity of cortical networks depends on inhibitory cell
... subsets of the other areas1. And within each area, specific connections create and respect laminar and columnar functional architecture2–8. Within any one of these laminar or columnar modules there are numerous inhibitory and excitatory neuron types whose dendritic and axonal arbors are intimately e ...
... subsets of the other areas1. And within each area, specific connections create and respect laminar and columnar functional architecture2–8. Within any one of these laminar or columnar modules there are numerous inhibitory and excitatory neuron types whose dendritic and axonal arbors are intimately e ...
Bridging Cytoarchitectonics and Connectomics in Human Cerebral
... communication (Zilles et al., 2015a, 2015b; Barbas, 2015; Mesulam, 1998). In parallel, studies examining connectivity at the macroscale level of brain organization have suggested that the brain’s global network structure of large-scale white matter projections may play an important role in neural pr ...
... communication (Zilles et al., 2015a, 2015b; Barbas, 2015; Mesulam, 1998). In parallel, studies examining connectivity at the macroscale level of brain organization have suggested that the brain’s global network structure of large-scale white matter projections may play an important role in neural pr ...
The Biological Bases of Time-to
... because these neurons respond only to the direct collision course of approaching objects (Wang & Frost, 1992, Sun & Frost, 1998), and not to simulation of the movement of pigeons toward the same stationary objects (Sun & Frost, submitted). Also the work on locust looming detectors would fit this cat ...
... because these neurons respond only to the direct collision course of approaching objects (Wang & Frost, 1992, Sun & Frost, 1998), and not to simulation of the movement of pigeons toward the same stationary objects (Sun & Frost, submitted). Also the work on locust looming detectors would fit this cat ...
Comparative molecular neuroanatomy of mammalian neocortex
... For example, the corticotectal neurons (projecting to the superior colliculus) and the callossal neurons (projecting to the contralateral hemisphere) in layer 5 of the rat visual cortex can be easily identified by retrograde labeling. ...
... For example, the corticotectal neurons (projecting to the superior colliculus) and the callossal neurons (projecting to the contralateral hemisphere) in layer 5 of the rat visual cortex can be easily identified by retrograde labeling. ...
Retinoids and spinal cord development
... is the uppermost layer of the three-layered embryo. This occurs by the action of the node or organizer, which, when grafted to another embryo, can induce a complete ectopic embryonic axis. The current view of the molecular basis of the induction of the neural plate is that the node secretes several ...
... is the uppermost layer of the three-layered embryo. This occurs by the action of the node or organizer, which, when grafted to another embryo, can induce a complete ectopic embryonic axis. The current view of the molecular basis of the induction of the neural plate is that the node secretes several ...
Oriented Axon Projections in Primary Visual Cortex of the Monkey
... that elicited responses were judged by sound and recorded separately for each eye. We also mapped by hand the minimum response fields (Hubel and Wiesel, 1962). The borders and preferred orientation of the receptive field were determined as follows [adapted from Barlow et al. (1967)]: orientation was ...
... that elicited responses were judged by sound and recorded separately for each eye. We also mapped by hand the minimum response fields (Hubel and Wiesel, 1962). The borders and preferred orientation of the receptive field were determined as follows [adapted from Barlow et al. (1967)]: orientation was ...
learning motor skills by imitation: a biologically inspired robotic model
... movements. The algorithm was trained by comparing the desired motion (as observed during the demonstration) to that achieved through numerous trials by the robot. The model presented in this article intends to bring three new contributions with respect to other models of imitation: First, the model ...
... movements. The algorithm was trained by comparing the desired motion (as observed during the demonstration) to that achieved through numerous trials by the robot. The model presented in this article intends to bring three new contributions with respect to other models of imitation: First, the model ...
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... into functionally specific layers. Layers A and A1 receive input from the contra- and ipsi-lateral retinas respectively. ON- and OFF-center LGN cells, which have functionally similar receptive properties as their ON and OFF retinal ganglion cell counterparts, are intermixed within each layer (in the ...
... into functionally specific layers. Layers A and A1 receive input from the contra- and ipsi-lateral retinas respectively. ON- and OFF-center LGN cells, which have functionally similar receptive properties as their ON and OFF retinal ganglion cell counterparts, are intermixed within each layer (in the ...
An Associator Network Approach to Robot Learning by Imitation
... a language instruction. The fusion of such multimodal inputs is critical for the common acceptance of service robot due to the need to instruct robots to perform actions in a natural way through language and visual demonstration [24]. One design motivation for our imitation robot approach is modular ...
... a language instruction. The fusion of such multimodal inputs is critical for the common acceptance of service robot due to the need to instruct robots to perform actions in a natural way through language and visual demonstration [24]. One design motivation for our imitation robot approach is modular ...
A Well-Behaved Algorithm for Simulating Dependence Structures of
... For the purpose of this paper, we consider only directed graphs. A directed graph is denoted by G = (V, E), where V = (vi |0 ≤ i < n, n > 0) is a set of nodes and E = ((u, v)|u, v ∈ V, u 6= v) is a set of arcs. An arc (u, v) is directed from u (the tail) to v (the head). The node u is called a paren ...
... For the purpose of this paper, we consider only directed graphs. A directed graph is denoted by G = (V, E), where V = (vi |0 ≤ i < n, n > 0) is a set of nodes and E = ((u, v)|u, v ∈ V, u 6= v) is a set of arcs. An arc (u, v) is directed from u (the tail) to v (the head). The node u is called a paren ...
Crossmodal and action-specific: neuroimaging the human mirror
... the context of different actions (e.g., grasping to eat or placing an object), suggesting a mechanism by which the final goal of a series of actions could be understood [2,3]. Fourth, the class of mirror neurons is heterogeneous with respect to tuning properties of individual neurons on various dime ...
... the context of different actions (e.g., grasping to eat or placing an object), suggesting a mechanism by which the final goal of a series of actions could be understood [2,3]. Fourth, the class of mirror neurons is heterogeneous with respect to tuning properties of individual neurons on various dime ...
Neurophysiology: Serotonin`s many meanings elude simple theories
... be related to particular neuromodulators. Such doubts have largely been settled for dopamine by Cohen, Uchida and co-workers at Harvard University (Cohen et al., 2012) using optogenetic tagging: this technique allows the dopamine neurons to be electrophysiologically identified by genetically modifyi ...
... be related to particular neuromodulators. Such doubts have largely been settled for dopamine by Cohen, Uchida and co-workers at Harvard University (Cohen et al., 2012) using optogenetic tagging: this technique allows the dopamine neurons to be electrophysiologically identified by genetically modifyi ...
A. Azzini "A New Genetic Approach for Neural Network Design and
... that learns to perform a task rather than being directly programmed. In this sense many neural network solutions exist either because a solving program is very difficult to write, or because the neural network ‘learnt solutions’ provide improved performances. ANN also admit a degree of imprecision o ...
... that learns to perform a task rather than being directly programmed. In this sense many neural network solutions exist either because a solving program is very difficult to write, or because the neural network ‘learnt solutions’ provide improved performances. ANN also admit a degree of imprecision o ...
Efficient Event-Driven Simulation of Large Networks of Spiking
... We have found some attempts in this direction. An event-driven approach, similar in concept to the approach presented here, was first proposed by Watts (1994). It is rather general and flexible but not very suitable for large networks with extensive randomness because a specific “event” is generated ...
... We have found some attempts in this direction. An event-driven approach, similar in concept to the approach presented here, was first proposed by Watts (1994). It is rather general and flexible but not very suitable for large networks with extensive randomness because a specific “event” is generated ...
Artificial Intelligence techniques: An introduction to their use for
... is available [41], and its application is quite limited. RBS are well suited to problems where experts can articulate decisions confidently and where variables interact little. They may be difficult to scale up, as interactions then emerge. Ecological systems, with complex interactions and processes ...
... is available [41], and its application is quite limited. RBS are well suited to problems where experts can articulate decisions confidently and where variables interact little. They may be difficult to scale up, as interactions then emerge. Ecological systems, with complex interactions and processes ...
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... value of the label .1 The performance of naive Bayes is somewhat surprising given that this is clearly an unrealistic assumption. Consider for example a classifier for assessing the risk in loan applications. It would be erroneous to ignore the correlations between age, education level, and income ...
... value of the label .1 The performance of naive Bayes is somewhat surprising given that this is clearly an unrealistic assumption. Consider for example a classifier for assessing the risk in loan applications. It would be erroneous to ignore the correlations between age, education level, and income ...
... and C will show a weaker correlation reflecting their shared input from A. The study of the correlation between multiple spike trains offers the opportunity to map the underlying neuronal network structure and interpret the neural code being used to transmit information, but faces a considerable com ...
Jennifer S. Lund
... head, looking at it, and puzzling over its own organization. However, wondering over the beauties of nature does not get one very far in exploration of how the cortex might function, so the next years passed quickly indeed as I tried to trace within the primary visual cortex the patterns of ...
... head, looking at it, and puzzling over its own organization. However, wondering over the beauties of nature does not get one very far in exploration of how the cortex might function, so the next years passed quickly indeed as I tried to trace within the primary visual cortex the patterns of ...
A Neural Network Based Navigation for Intelligent Autonomous
... sensing introduces several risks: the outbound energy may affect the very characteristics that the sensor is attempting to measure. Furthermore, an active sensor may suffer from interference between its signal and those beyond its control. For example, signals emitted by other nearby robots, or simi ...
... sensing introduces several risks: the outbound energy may affect the very characteristics that the sensor is attempting to measure. Furthermore, an active sensor may suffer from interference between its signal and those beyond its control. For example, signals emitted by other nearby robots, or simi ...
Fast Readout of Object Identity from Macaque Inferior Temporal Cortex
... shows the cross-validated performance of classifiers in performing this categorization task as a function of the number of recording sites (30). The spiking activity of 256 randomly selected multi-unit activity (MUA) sites was sufficient to categorize the objects with 94 T 4% accuracy (mean T SD; fo ...
... shows the cross-validated performance of classifiers in performing this categorization task as a function of the number of recording sites (30). The spiking activity of 256 randomly selected multi-unit activity (MUA) sites was sufficient to categorize the objects with 94 T 4% accuracy (mean T SD; fo ...
Decision Making in Recurrent Neuronal Circuits
... economic choice behaviors such as foraging or interactive games. These models are similar in their basic assumptions. Recurrent synaptic excitation is assumed to be sufficiently strong to generate multiple self-sustained stable states of neural populations, which are mathematically referred to as ‘‘ ...
... economic choice behaviors such as foraging or interactive games. These models are similar in their basic assumptions. Recurrent synaptic excitation is assumed to be sufficiently strong to generate multiple self-sustained stable states of neural populations, which are mathematically referred to as ‘‘ ...