Learning place cells, grid cells and invariances: A unifying model
... the target rate everywhere (Supplementary Online Material, SOM). From this homogeneous state, a small potentiation of one excitatory weight leads to an increased firing rate of the output neuron at the location of the associated place field (highlighted red curve in Fig. 1e). To bring the output neu ...
... the target rate everywhere (Supplementary Online Material, SOM). From this homogeneous state, a small potentiation of one excitatory weight leads to an increased firing rate of the output neuron at the location of the associated place field (highlighted red curve in Fig. 1e). To bring the output neu ...
Hybrid Scheme for Modeling Local Field Potentials from Point
... the large number of neurons contributing to the recorded signal. In neocortex, for example, the measured LFP is typically generated by thousands or even millions of neurons near the recording electrode (Kajikawa and Schroeder 2011; Lindén et al. 2011; Łȩski et al. 2013). Moreover, the LFP reflects a ...
... the large number of neurons contributing to the recorded signal. In neocortex, for example, the measured LFP is typically generated by thousands or even millions of neurons near the recording electrode (Kajikawa and Schroeder 2011; Lindén et al. 2011; Łȩski et al. 2013). Moreover, the LFP reflects a ...
- White Rose Research Online
... Despite their comparatively small number, the GABAergic fastspiking interneurons (FSIs) in particular exert a very strong influence on the MSNs [20–22], receive input from similar sources, and are interconnected by both chemical synapses and gap junctions. However, the striatum’s lack of layers and ...
... Despite their comparatively small number, the GABAergic fastspiking interneurons (FSIs) in particular exert a very strong influence on the MSNs [20–22], receive input from similar sources, and are interconnected by both chemical synapses and gap junctions. However, the striatum’s lack of layers and ...
Statistical mechanics of neocortical interactions: Constraints on 40
... retention of 7 ± 2 items [19]. This is true even for apparently exceptional memory performers who, while they may be capable of more efficient encoding and retrieval of STM, and while they may be more efficient in ‘‘chunking’’ larger patterns of information into single items, nevertheless are limite ...
... retention of 7 ± 2 items [19]. This is true even for apparently exceptional memory performers who, while they may be capable of more efficient encoding and retrieval of STM, and while they may be more efficient in ‘‘chunking’’ larger patterns of information into single items, nevertheless are limite ...
An Integrate-and-fire Model of Prefrontal Cortex Neuronal Activity during Performance of Goal-directed
... specific state to another. Schultz et al. (2000) identified these neurons, labeling them as selective for the instruction that initiates a specific trial, as well as predictive for a specific action. Previous models of frontal cortex function have used neurons with sigmoid input--output functions which ...
... specific state to another. Schultz et al. (2000) identified these neurons, labeling them as selective for the instruction that initiates a specific trial, as well as predictive for a specific action. Previous models of frontal cortex function have used neurons with sigmoid input--output functions which ...
Information processing in a neuron ensemble with the multiplicative
... Furthermore, the present study also investigates the important issue, the difference in decoding accuracy by the faithful and unfaithful models (Nakahara & Amari, 2002; Wu et al., 2001, 2002a). The definition of the Fisher information implicitly poses the assumption that decoding is carried out by u ...
... Furthermore, the present study also investigates the important issue, the difference in decoding accuracy by the faithful and unfaithful models (Nakahara & Amari, 2002; Wu et al., 2001, 2002a). The definition of the Fisher information implicitly poses the assumption that decoding is carried out by u ...
Reflections on the Field of Human Genetics: A Call for Increased
... priori, that tens or hundreds of thousands loci across the genome harbor alleles of very small effect sizes, all marginally contributing to additively increase disease risk. Moreover, many types of models may appear to have additive and nearly independent effects as those effect sizes become small. ...
... priori, that tens or hundreds of thousands loci across the genome harbor alleles of very small effect sizes, all marginally contributing to additively increase disease risk. Moreover, many types of models may appear to have additive and nearly independent effects as those effect sizes become small. ...
Neural Reflexes
... precon gured modules called re exes. You can think of the process as similar to driving a car. Many complex, precon gured components are involved in making the car move, such as the engine, the transmission, the anti-locking brakes, and the power steering. Most of these components, for example the e ...
... precon gured modules called re exes. You can think of the process as similar to driving a car. Many complex, precon gured components are involved in making the car move, such as the engine, the transmission, the anti-locking brakes, and the power steering. Most of these components, for example the e ...
Modeling goal-directed spatial navigation in the rat based on physiological
... 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) are based on hypothesized functions of these ...
... 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) are based on hypothesized functions of these ...
Orange Sky PowerPoint Template
... Overfitting: The training instances can not represent the mother population completely. Early stopping: When the error of holdout set starts to increase, it terminates the propagation iteration. Weight decay: Add to the error function a penalty term, which is the squared sum of all weights in the ne ...
... Overfitting: The training instances can not represent the mother population completely. Early stopping: When the error of holdout set starts to increase, it terminates the propagation iteration. Weight decay: Add to the error function a penalty term, which is the squared sum of all weights in the ne ...
The Cat is Out of the Bag: Cortical Simulations with 109 Neurons
... folded tightly to fit within constraints imposed by the skull [30]. Neuronal density in the cortical sheet has been estimated at 92, 000 neurons under 1 mm2 [8]. The cortex is subdivided into multiple areas, each showing some degree of functional specialization and a specific set of connections with ...
... folded tightly to fit within constraints imposed by the skull [30]. Neuronal density in the cortical sheet has been estimated at 92, 000 neurons under 1 mm2 [8]. The cortex is subdivided into multiple areas, each showing some degree of functional specialization and a specific set of connections with ...
Symbol Acquisition for Probabilistic High
... thus be viewed as referring to (or naming) the set of low-level states in which the proposition holds (i.e., evaluates to true). Consequently, Konidaris et al. [2014] used the following definition of a symbol: Definition 1. A propositional symbol σZ is the name associated with a test τZ , and the co ...
... thus be viewed as referring to (or naming) the set of low-level states in which the proposition holds (i.e., evaluates to true). Consequently, Konidaris et al. [2014] used the following definition of a symbol: Definition 1. A propositional symbol σZ is the name associated with a test τZ , and the co ...
An ontology-based search engine for digital
... (e.g., primary somatosensory, left hind limb), and the other describing laminar depth typically referring to cytoarchitecture and microcircuitry (e.g., layer 5b). The logical relationships among hierarchies within and across metadata domains are described in Sect. 2.2. Every hierarchy is composed of ...
... (e.g., primary somatosensory, left hind limb), and the other describing laminar depth typically referring to cytoarchitecture and microcircuitry (e.g., layer 5b). The logical relationships among hierarchies within and across metadata domains are described in Sect. 2.2. Every hierarchy is composed of ...