The Resilience of Computationalism - Philsci
... formulation is entirely adequate for the role computationalism plays in science. Scientists who carry out computationalist research programs offer computational explanations of cognitive tasks. Such explanations are usually formulated in terms of computations over representations, presupposing some ...
... formulation is entirely adequate for the role computationalism plays in science. Scientists who carry out computationalist research programs offer computational explanations of cognitive tasks. Such explanations are usually formulated in terms of computations over representations, presupposing some ...
Slide ()
... Odor responses in the olfactory bulb. A. The axons from neurons in one epithelial zone with the same odorant receptor type usually converge to two glomeruli, one on each side of the olfactory bulb. Here a probe specific for one odorant receptor gene labeled a glomerulus on the medial side (left) and ...
... Odor responses in the olfactory bulb. A. The axons from neurons in one epithelial zone with the same odorant receptor type usually converge to two glomeruli, one on each side of the olfactory bulb. Here a probe specific for one odorant receptor gene labeled a glomerulus on the medial side (left) and ...
DeepMetabolism: A Deep Learning System To Predict
... DeepMetabolism, we implemented a two-step, deep neural network model, with two different sets of data. The first step was unsupervised pre-training with transcriptomics data, and the second step was supervised training that used paired data of transcriptomics and phenotype (Figure 1A). We expected t ...
... DeepMetabolism, we implemented a two-step, deep neural network model, with two different sets of data. The first step was unsupervised pre-training with transcriptomics data, and the second step was supervised training that used paired data of transcriptomics and phenotype (Figure 1A). We expected t ...
What We Can and What We Can`t Do with fMRI
... striosomes of basal ganglia, one must know a great deal about synapses, neurons, and their interconnections. In the same way, to understand the functioning of a distributed large-scale system, such as that underlying our memory or linguistic capacities, one must first understand the architectural un ...
... striosomes of basal ganglia, one must know a great deal about synapses, neurons, and their interconnections. In the same way, to understand the functioning of a distributed large-scale system, such as that underlying our memory or linguistic capacities, one must first understand the architectural un ...
Using chaotic artificial neural networks to model memory in the brain
... synchronization modes due to self-adaption. The information process and response in the brain are greatly influenced by external forcing and by internal shifts in control parameters and functional connections. In this way, the brain resembles a chaotic system with isolated neurons. Furthermore, the ...
... synchronization modes due to self-adaption. The information process and response in the brain are greatly influenced by external forcing and by internal shifts in control parameters and functional connections. In this way, the brain resembles a chaotic system with isolated neurons. Furthermore, the ...
The C. elegans Connectome Consists of Homogenous Circuits with
... These massive efforts will yield gigantic networks composed of millions of inter-connected neurons. This poses a genuine challenge: how to analyze these perplexing connectomes such that functional principles can be extracted based on connectivity data alone. Various approaches and theories had been ...
... These massive efforts will yield gigantic networks composed of millions of inter-connected neurons. This poses a genuine challenge: how to analyze these perplexing connectomes such that functional principles can be extracted based on connectivity data alone. Various approaches and theories had been ...
Adaptive neural coding: from biological to behavioral decision
... reward representation. Notably, this form of value modulation mirrors extensively studied spatial contextual phenomena in sensory processing [37], pointing towards potential unifying neural mechanisms we discuss below in Neural computation and biological constraints. Similar to behavioral context-de ...
... reward representation. Notably, this form of value modulation mirrors extensively studied spatial contextual phenomena in sensory processing [37], pointing towards potential unifying neural mechanisms we discuss below in Neural computation and biological constraints. Similar to behavioral context-de ...
Combining ICT and Cognitive Science
... are still a long way from these applications in real life. All current prototypes are basically one-directional, generally from the brain to the external environment, with no feedback loops, that is, two-way information transmission. For real life applications, like the control of paralyzed limbs or ...
... are still a long way from these applications in real life. All current prototypes are basically one-directional, generally from the brain to the external environment, with no feedback loops, that is, two-way information transmission. For real life applications, like the control of paralyzed limbs or ...
Information Optimization in Coupled Audio–Visual Cortical Maps Mehran Kardar A. Zee
... In the struggle of biological organisms to survive and reproduce, processing of information is of central importance. Sensory signals provide valuable information about the external world, such as the locations of predators and preys. Localization of sources is facilitated by topographic maps of neu ...
... In the struggle of biological organisms to survive and reproduce, processing of information is of central importance. Sensory signals provide valuable information about the external world, such as the locations of predators and preys. Localization of sources is facilitated by topographic maps of neu ...
November 2008_Neural_Computing_Systems.SupervisedBackProp
... According to Paul Werbos there is no such thing as a “backpropagation network”, he used an ANN design called a multilayer perceptron. ...
... According to Paul Werbos there is no such thing as a “backpropagation network”, he used an ANN design called a multilayer perceptron. ...
- Stem-cell and Brain Research Institute
... In order to realize such a task, a system should first be capable of distinguishing function words (or morphemes) from content words. Numerous behavioral and event-related brain potential studies indicate that indeed, adults process function and content words in a dissociated manner (e.g., Friederici ...
... In order to realize such a task, a system should first be capable of distinguishing function words (or morphemes) from content words. Numerous behavioral and event-related brain potential studies indicate that indeed, adults process function and content words in a dissociated manner (e.g., Friederici ...
Human Vision: Electrophysiology and Psychophysics
... At one time there was a debate as to the question of whether the brain was composed of a continuous system of wires or whether it was a discontinuous network made up of individual neurons ...
... At one time there was a debate as to the question of whether the brain was composed of a continuous system of wires or whether it was a discontinuous network made up of individual neurons ...
Olfactory cortex as a model for telencephalic processing
... sub-clustering occur in the simulation before the inhibitory feedback to the bulb runs its course. That is, the system uses an unexpected type of coding across time, using specific target neurons selectively activated at a series of different time points, to discriminate among inputs. This iterativ ...
... sub-clustering occur in the simulation before the inhibitory feedback to the bulb runs its course. That is, the system uses an unexpected type of coding across time, using specific target neurons selectively activated at a series of different time points, to discriminate among inputs. This iterativ ...
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... system architecture have been implemented. These modules and models were developed as collaborations between the computational partners of Nancy, Ulm and Sunderland. This was done based on motivation from the biological partners of MRC, Cambridge and Parma. 5.1 Sentence input and output The MirrorBo ...
... system architecture have been implemented. These modules and models were developed as collaborations between the computational partners of Nancy, Ulm and Sunderland. This was done based on motivation from the biological partners of MRC, Cambridge and Parma. 5.1 Sentence input and output The MirrorBo ...
Computing with Spiking Neuron Networks
... the soma, the cell body of the neuron. This brief electric pulse (1 or 2ms duration) then travels along the neuron’s axon, that in turn is linked up to the receiving end of other neurons, the dendrites (see Figure 1, left view). At the end of the axon, synapses connect one neuron to another, and at ...
... the soma, the cell body of the neuron. This brief electric pulse (1 or 2ms duration) then travels along the neuron’s axon, that in turn is linked up to the receiving end of other neurons, the dendrites (see Figure 1, left view). At the end of the axon, synapses connect one neuron to another, and at ...
Note 11.1 - The Nervous System
... composed of efferent (motor) neurons that carry signals to skeletal muscles in response to external stimuli. Autonomic system – is a subdivision of the efferent (within the PNS); regulates the internal environment. Sympathetic division – is one of two subdivisions of the autonomic nervous system; in ...
... composed of efferent (motor) neurons that carry signals to skeletal muscles in response to external stimuli. Autonomic system – is a subdivision of the efferent (within the PNS); regulates the internal environment. Sympathetic division – is one of two subdivisions of the autonomic nervous system; in ...
II. Systematic Approach to Biology of Cognition
... of cognitive function in humans is very old. In 19th century, scientists started to consider how much of cognitive function is based on heredity and how much is the product of interactions with the environment. Galton (1865), in his two article series [1], posed a question whether “nature or nurture ...
... of cognitive function in humans is very old. In 19th century, scientists started to consider how much of cognitive function is based on heredity and how much is the product of interactions with the environment. Galton (1865), in his two article series [1], posed a question whether “nature or nurture ...
PDF
... a total of 255 principal projection neurons would be required (N = 28 −1 = 255) for this node. However, when a submodular approach is employed (e.g., dividing into a set of four inputs per subnode), the same 255 principal neuron sets can increase its processing capacity by a factor of 17 times (255 ...
... a total of 255 principal projection neurons would be required (N = 28 −1 = 255) for this node. However, when a submodular approach is employed (e.g., dividing into a set of four inputs per subnode), the same 255 principal neuron sets can increase its processing capacity by a factor of 17 times (255 ...
JAY McCLELLAND
... • Representations in the temporal pole are acquired through the course of learning. • After learning, the network can activate each other type of information from name or visual input. • Representations undergo progressive differentiation as learning progresses. • Damage to units within the temporal ...
... • Representations in the temporal pole are acquired through the course of learning. • After learning, the network can activate each other type of information from name or visual input. • Representations undergo progressive differentiation as learning progresses. • Damage to units within the temporal ...