
A Differential Approach to Inference in Bayesian Networks Adnan
... dence e: they only contain one type of variables cor responding to network parameters, with no variables corresponding to evidence indicators. In fact, these polynomials correspond to our canonical polynomi als when evidence indicators are fixed to a particular value. Hence, they do not represent ...
... dence e: they only contain one type of variables cor responding to network parameters, with no variables corresponding to evidence indicators. In fact, these polynomials correspond to our canonical polynomi als when evidence indicators are fixed to a particular value. Hence, they do not represent ...
Using Artificial Neural Network to Predict Collisions on Horizontal
... Neurons are related to each other by their weights. These weights are determined by training and contain the dataset’s characteristic. As shown in Eq. 4, p input values are multiplied by their weights, added respectively, and the bias value is added. Thus, the first part of the artificial neuron’s n ...
... Neurons are related to each other by their weights. These weights are determined by training and contain the dataset’s characteristic. As shown in Eq. 4, p input values are multiplied by their weights, added respectively, and the bias value is added. Thus, the first part of the artificial neuron’s n ...
Art.-Schoenbaum (R) - UCSD Cognitive Science
... a fluid well located several inches below the odor sampling port (see Fig. 2). Responses at the odor port and at the fluid well were registered by interruption of photobeams that detected the entry of the rat’s snout into each port. The odor predicted whether the rat would receive a rewarding sucros ...
... a fluid well located several inches below the odor sampling port (see Fig. 2). Responses at the odor port and at the fluid well were registered by interruption of photobeams that detected the entry of the rat’s snout into each port. The odor predicted whether the rat would receive a rewarding sucros ...
Turtle Dorsal Cortex Pyramidal Neurons Comprise Two Distinct Cell
... type and circuit-specific therapies to treat brain disorders [9]. As a case in point, the laminar organization of pyramidal neurons in neocortex (Fig 1A) plays a key role in the processing of visual inputs, as indicated by layer and cell-type specificity of sensory responses [10–14]. The search for ...
... type and circuit-specific therapies to treat brain disorders [9]. As a case in point, the laminar organization of pyramidal neurons in neocortex (Fig 1A) plays a key role in the processing of visual inputs, as indicated by layer and cell-type specificity of sensory responses [10–14]. The search for ...
Nature template
... 12. C. M. Gray, W. Singer, Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. 86, 1698-1702 (1989). 13. W. Singer, C. M. Gray, Visual feature integration and the temporal correlation ...
... 12. C. M. Gray, W. Singer, Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. 86, 1698-1702 (1989). 13. W. Singer, C. M. Gray, Visual feature integration and the temporal correlation ...
Integrating Top-Down and Bottom
... driven by the bottom-up pathway. In spite of these data, however, the underlying mechanisms and the origin of the remarkable difference between effects of bottomup and top-down signals are unresolved. Taking a particular approach to investigate top-down interactions in the temporal domain, recent ex ...
... driven by the bottom-up pathway. In spite of these data, however, the underlying mechanisms and the origin of the remarkable difference between effects of bottomup and top-down signals are unresolved. Taking a particular approach to investigate top-down interactions in the temporal domain, recent ex ...
Thalamic Activity that Drives Visual Cortical Plasticity
... • A: Crosscorrelogram for pairs of simultaneously recorded neurons, grey line represents unity – Points indicating correlation for lid closure show the opposite pattern from retinal inactivation ...
... • A: Crosscorrelogram for pairs of simultaneously recorded neurons, grey line represents unity – Points indicating correlation for lid closure show the opposite pattern from retinal inactivation ...
Watching synapses during sensory information
... The basic function of brain is to process and transmit sensory stimuli from the environment, which allows human beings and animals to make sense of the world. Neurons widely distributed in the brain are required for achieving this function. Therefore, how the neurons work for processing sensory inf ...
... The basic function of brain is to process and transmit sensory stimuli from the environment, which allows human beings and animals to make sense of the world. Neurons widely distributed in the brain are required for achieving this function. Therefore, how the neurons work for processing sensory inf ...
PHS 398 (Rev. 9/04), Biographical Sketch Format Page
... prosthetic ideas in the central nervous system from moving into clinical trials. I pioneered the development of an optically activated micro-stimulator free from any interconnects, thus without any tethering forces, and individually addressable for selective stimulation. The stimulator is energized ...
... prosthetic ideas in the central nervous system from moving into clinical trials. I pioneered the development of an optically activated micro-stimulator free from any interconnects, thus without any tethering forces, and individually addressable for selective stimulation. The stimulator is energized ...
Presentation materials - Brain Dynamics Laboratory
... • Bursts have higher signal-to-noise ratio than single spikes. Burst threshold is higher than spike threshold, i.e., generation of bursts requires stronger inputs. • Bursts can be used for selective communication if the postsynaptic cells have subthreshold oscillations of membrane potential. Such ce ...
... • Bursts have higher signal-to-noise ratio than single spikes. Burst threshold is higher than spike threshold, i.e., generation of bursts requires stronger inputs. • Bursts can be used for selective communication if the postsynaptic cells have subthreshold oscillations of membrane potential. Such ce ...
Harris KD. Neural signatures of cell assembly organization. Nat Rev
... two brains will be independent, for any given stimulus presentation (conditional independence). Nevertheless, because both animals experience the same stimuli, an overall correlation (marginal dependence) will still be observed, owing to the common effect of the stimulus. When only single-neuron rec ...
... two brains will be independent, for any given stimulus presentation (conditional independence). Nevertheless, because both animals experience the same stimuli, an overall correlation (marginal dependence) will still be observed, owing to the common effect of the stimulus. When only single-neuron rec ...
LiuPoster - Department of Mathematics
... phenomenon occurs when a whisker is repetitively deflected, and it results in the decoder neuron becoming less responsive to whisker deflection. In this project, I was more interested in the excitatory (thalamic) and inhibitory ...
... phenomenon occurs when a whisker is repetitively deflected, and it results in the decoder neuron becoming less responsive to whisker deflection. In this project, I was more interested in the excitatory (thalamic) and inhibitory ...
Axonal conduction properties of antidromically identified neurons in
... In nine experiments, under halothane anesthesia, we identified the vibrissa representation in motor cortex using intracortical microstimulation through Teflon-coated stainless steel wires (diameter = 125 m m) insulated to within 0.5 mm of a beveled tip. Thirty-ms trains of 0.2 ms duration pulses wer ...
... In nine experiments, under halothane anesthesia, we identified the vibrissa representation in motor cortex using intracortical microstimulation through Teflon-coated stainless steel wires (diameter = 125 m m) insulated to within 0.5 mm of a beveled tip. Thirty-ms trains of 0.2 ms duration pulses wer ...
Fixing Functionalism
... This paper will argue that the traditional construal of functionalism is too complex to be a workable scientific theory of consciousness, and introduce an alternative, simpler theory in its place. The argument begins by introducing the notion of a constructor, which is intended to describe just how ...
... This paper will argue that the traditional construal of functionalism is too complex to be a workable scientific theory of consciousness, and introduce an alternative, simpler theory in its place. The argument begins by introducing the notion of a constructor, which is intended to describe just how ...
Music Similarity Estimation with the Mean
... the basis for higher-level features engineered over the course of several years [6], [7], [8] – these are what we position our approach against, reusing their common low-level basis rather than trying to learn it as well. ...
... the basis for higher-level features engineered over the course of several years [6], [7], [8] – these are what we position our approach against, reusing their common low-level basis rather than trying to learn it as well. ...
deep variational bayes filters: unsupervised learning of state space
... Julier & Uhlmann (1997), and are successfully applied in many areas, they suffer from two major drawbacks: firstly, its assumptions are restrictive and are violated in practical applications, leading to suboptimal results. Secondly, parameters such as Ft and Bt have to be known in order to perform p ...
... Julier & Uhlmann (1997), and are successfully applied in many areas, they suffer from two major drawbacks: firstly, its assumptions are restrictive and are violated in practical applications, leading to suboptimal results. Secondly, parameters such as Ft and Bt have to be known in order to perform p ...
Information transmission and recovery in neural communications
... should be treated by continuous information theory 关17兴. However, we employ a discrete treatment since 共a兲 continuous treatment of complex signals with unknown distributions cannot be implemented in practice, 共b兲 in a real environment signals cannot be transmitted and decoded with infinite accuracy, ...
... should be treated by continuous information theory 关17兴. However, we employ a discrete treatment since 共a兲 continuous treatment of complex signals with unknown distributions cannot be implemented in practice, 共b兲 in a real environment signals cannot be transmitted and decoded with infinite accuracy, ...
Insights into decision making using choice probability
... the second question includes a tacit assumption that CP originates from feedforward mechanisms. Recent work on CP calls this assumption into question. Therefore, we also ask, 3) what is the origin of CP?; does it result from feedforward pooling of neuronal activity or from feedback mechanisms such a ...
... the second question includes a tacit assumption that CP originates from feedforward mechanisms. Recent work on CP calls this assumption into question. Therefore, we also ask, 3) what is the origin of CP?; does it result from feedforward pooling of neuronal activity or from feedback mechanisms such a ...
Emergence of new signal-primitives in neural systems
... Emergence is the process by which new structures and functions come into being. There are two fundamental, but complementary, conceptions of emergence: combinatoric emergence, wherein novelty arises by new combinations of pre-existing elements, and creative emergence, wherein novelty arises by de no ...
... Emergence is the process by which new structures and functions come into being. There are two fundamental, but complementary, conceptions of emergence: combinatoric emergence, wherein novelty arises by new combinations of pre-existing elements, and creative emergence, wherein novelty arises by de no ...
Columnar Organization of Dendrites and Axons of Single and
... both neurons. Note that the characteristic asymmetric dendritic configuration of spiny stellate cells is confined to layer 4, whereas the axons of the presynaptic and postsynaptic neuron project throughout the cortex from layer 1 to the white matter with extensive arborization in layers 2/3 and 4. I ...
... both neurons. Note that the characteristic asymmetric dendritic configuration of spiny stellate cells is confined to layer 4, whereas the axons of the presynaptic and postsynaptic neuron project throughout the cortex from layer 1 to the white matter with extensive arborization in layers 2/3 and 4. I ...
Abstracts - BCCN 2009
... The Hodgkin and Huxley model of a neuron, when driven with constant input, spikes periodically, such that the dynamics trace out a stable, closed orbit in the system's state space, which is composed of the voltage and the gating variables. If the input is not constant, but varies in time around a me ...
... The Hodgkin and Huxley model of a neuron, when driven with constant input, spikes periodically, such that the dynamics trace out a stable, closed orbit in the system's state space, which is composed of the voltage and the gating variables. If the input is not constant, but varies in time around a me ...
Contextual modulation and stimulus selectivity in extrastriate cortex
... system (Brincat & Connor, 2004; Mineault et al., 2012; Rust et al., 2006). Thus, for example, models of V2 can be framed as performing computations on the outputs of simulated V1 neurons, rather than operating on the raw visual input (Coen-Cagli & Schwartz, 2013). The precise operations that are use ...
... system (Brincat & Connor, 2004; Mineault et al., 2012; Rust et al., 2006). Thus, for example, models of V2 can be framed as performing computations on the outputs of simulated V1 neurons, rather than operating on the raw visual input (Coen-Cagli & Schwartz, 2013). The precise operations that are use ...
Doubly stochastic processes: an approach for understanding central
... Abstract— In this paper we argue that doubly stochastic processes are a natural tool for understanding certain types of information processing in the central nervous system. Doubly stochastic processes themselves are not new and have been investigated in a mathematical context; however, they have no ...
... Abstract— In this paper we argue that doubly stochastic processes are a natural tool for understanding certain types of information processing in the central nervous system. Doubly stochastic processes themselves are not new and have been investigated in a mathematical context; however, they have no ...
Probing neural circuits in the zebrafish: a suite of optical techniques
... The ability to image neural activity in populations of neurons inside an intact animal, while obtaining single-cell or subcellular spatial resolution, has led to several advances in our understanding of vertebrate locomotor control. This result, first reported in a 1995 study of motoneurons in larval ...
... The ability to image neural activity in populations of neurons inside an intact animal, while obtaining single-cell or subcellular spatial resolution, has led to several advances in our understanding of vertebrate locomotor control. This result, first reported in a 1995 study of motoneurons in larval ...
Confidence-Related Decision Making
... simplicity. Transmission delays help to prevent synchrony in the network (Mattia and Del Giudice 2003), producing similar effects in this respect to slow synaptic dynamics (implemented in the NMDA receptors). Since we used NMDA receptors, we expect our results to remain valid without explicitly impl ...
... simplicity. Transmission delays help to prevent synchrony in the network (Mattia and Del Giudice 2003), producing similar effects in this respect to slow synaptic dynamics (implemented in the NMDA receptors). Since we used NMDA receptors, we expect our results to remain valid without explicitly impl ...