Cnidarians and the evolutionary origin of the nervous system Review
... physiological complexity observed in the regionalized nervous system and eye-bearing sensory complex (Rhopalia) of cnidarians, an increasing number of examples indicating the evolutionary convergence in both nervous and sensory systems (Nishikawa 2002) make it difficult to simply compare cnidarian a ...
... physiological complexity observed in the regionalized nervous system and eye-bearing sensory complex (Rhopalia) of cnidarians, an increasing number of examples indicating the evolutionary convergence in both nervous and sensory systems (Nishikawa 2002) make it difficult to simply compare cnidarian a ...
Modeling goal-directed spatial navigation in the rat based on physiological
... Using CATACOMB, a spiking neuron model of rat entorhinal and hippocampal circuitry (Cannon et al., 2002) was implemented to investigate the significance of these phasic changes while performing goal-directed spatial navigation tasks in a T-maze. The roles of neuron populations (ECII, ECIII, CA3, CA1 ...
... Using CATACOMB, a spiking neuron model of rat entorhinal and hippocampal circuitry (Cannon et al., 2002) was implemented to investigate the significance of these phasic changes while performing goal-directed spatial navigation tasks in a T-maze. The roles of neuron populations (ECII, ECIII, CA3, CA1 ...
Attractor concretion as a mechanism for the formation of context
... the AN to the wait state. The AN encodes the CS–US associations by making CS triggered transitions to the state that represents the value of the predicted US. The CS–US associations are learned by biasing the competition between the positive and the negative state. In particular, the competition bia ...
... the AN to the wait state. The AN encodes the CS–US associations by making CS triggered transitions to the state that represents the value of the predicted US. The CS–US associations are learned by biasing the competition between the positive and the negative state. In particular, the competition bia ...
news release - Institut de recherches cliniques de Montréal
... which contains networks of specialized cells called neurons. Neurons send signals to one another and compute appropriate responses to sensory stimuli. “For example, neural circuits enable our hands to move away from a burning ember or direct the precise movements of a surgeon’s fingers,” mentions Dr ...
... which contains networks of specialized cells called neurons. Neurons send signals to one another and compute appropriate responses to sensory stimuli. “For example, neural circuits enable our hands to move away from a burning ember or direct the precise movements of a surgeon’s fingers,” mentions Dr ...
Modeling the auditory pathway - Computer Science
... Three similar sub-units and one slow sub-unit ...
... Three similar sub-units and one slow sub-unit ...
3680Lecture13 - U of L Class Index
... problem • What is the binding problem? • curve tracing and the binding problem: – if all neurons with RFs over the attended curve spike faster/at a specific frequency/in synchrony, this might be the binding signal ...
... problem • What is the binding problem? • curve tracing and the binding problem: – if all neurons with RFs over the attended curve spike faster/at a specific frequency/in synchrony, this might be the binding signal ...
Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in R
... By the end of the 1960s a different paradigm became popular: logic-rulebased systems (or expert systems) were proposed to solve the problem of learning complexity. An initial idea was that rules would capture the required knowledge and eliminate a need for learning. The first Chomskian ideas concern ...
... By the end of the 1960s a different paradigm became popular: logic-rulebased systems (or expert systems) were proposed to solve the problem of learning complexity. An initial idea was that rules would capture the required knowledge and eliminate a need for learning. The first Chomskian ideas concern ...
Functional Brain Changes Following Cognitive and Motor Skills
... changes during repeated task practice within a single scan session24-27 were excluded as were those comparing performance on a “trained” versus “control” task.28,29 Studies that reported region-of-interest analyses30-32 or did not report activation foci as 3D coordinates in stereotaxic space33 were ...
... changes during repeated task practice within a single scan session24-27 were excluded as were those comparing performance on a “trained” versus “control” task.28,29 Studies that reported region-of-interest analyses30-32 or did not report activation foci as 3D coordinates in stereotaxic space33 were ...
Cortex-inspired Developmental Learning for Vision-based Navigation, Attention and Recognition
... behaviors in the challenging task of vision-based navigation, using reinforcement learning and supervised learning jointly. Locally Balanced Incremental Hierarchical Discriminant Regression (LBIHDR) Tree was developed as a cognitive mapping engine to automatically generate internal representations, ...
... behaviors in the challenging task of vision-based navigation, using reinforcement learning and supervised learning jointly. Locally Balanced Incremental Hierarchical Discriminant Regression (LBIHDR) Tree was developed as a cognitive mapping engine to automatically generate internal representations, ...
Neural Crest_Origin, Migration and Differentiation
... between the neural tube and somites, until they arrive at the interface between the myotome and sclerotome. Here they abruptly turn almost 908 and migrate medially to laterally through the somite along the undersurface of the myotome (Figure 3). Eventually, neural crest cells begin to fill up some o ...
... between the neural tube and somites, until they arrive at the interface between the myotome and sclerotome. Here they abruptly turn almost 908 and migrate medially to laterally through the somite along the undersurface of the myotome (Figure 3). Eventually, neural crest cells begin to fill up some o ...
Kenji Doya 2001
... Thus, by combining the experimental data Reward r(t) Action u(t) from the basal ganglia and the theory of reinforceFigure 5. A schematic diagram of the circuit of the basal ganglia and their loop ment learning, the role of the basal ganglia has beconnection with the cerebral cortex. The labels in it ...
... Thus, by combining the experimental data Reward r(t) Action u(t) from the basal ganglia and the theory of reinforceFigure 5. A schematic diagram of the circuit of the basal ganglia and their loop ment learning, the role of the basal ganglia has beconnection with the cerebral cortex. The labels in it ...
input output - Brian Nils Lundstrom
... “The Response of Single Neurons to Varying Stimulus Statistics” by Brian Lundstrom Three types of steady state neuron responses First, we considered the case when the time-varying stimuli had steady state stimulus statistics, that is, how action potential generation depended on the stimulus’s stati ...
... “The Response of Single Neurons to Varying Stimulus Statistics” by Brian Lundstrom Three types of steady state neuron responses First, we considered the case when the time-varying stimuli had steady state stimulus statistics, that is, how action potential generation depended on the stimulus’s stati ...
Narrow Versus Wide Tuning Curves: What`s Best for a Population
... the same number of units in both layers, and the output layer contains lateral connections, which sharpen the tuning curves. This case is particularly relevant for neurophysiologists since this type of circuit is quite common in the cortex. In fact, some evidence suggests that a similar network is i ...
... the same number of units in both layers, and the output layer contains lateral connections, which sharpen the tuning curves. This case is particularly relevant for neurophysiologists since this type of circuit is quite common in the cortex. In fact, some evidence suggests that a similar network is i ...
![arXiv:1604.00289v3 [cs.AI] 2 Nov 2016](http://s1.studyres.com/store/data/003558001_1-ebbf1f5b4b7daca920a4ae5f6fdbbe61-300x300.png)
Narrow versus wide tuning curves: What`s best for a population code?
... the same number of units in both layers, and the output layer contains lateral connections, which sharpen the tuning curves. This case is particularly relevant for neurophysiologists since this type of circuit is quite common in the cortex. In fact, some evidence suggests that a similar network is i ...
... the same number of units in both layers, and the output layer contains lateral connections, which sharpen the tuning curves. This case is particularly relevant for neurophysiologists since this type of circuit is quite common in the cortex. In fact, some evidence suggests that a similar network is i ...