Synaptic bouton properties are tuned to best fit the prevailing firing pattern.

abstract：:The striatum is an important subcortical structure with extensive connections to other regions of the brain. These connections are believed to play important roles in behaviors such as reward-related processes and impulse control, which show significant sex differences. However, little is known about sex differences i...

journal_title：Frontiers in computational neuroscience

authors： Lei X,Han Z,Chen C,Bai L,Xue G,Dong Q

更新日期：2016-09-23 00:00:00

abstract：:In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inference, agents act in order to minimize their so called free energy, or p...

journal_title：Frontiers in computational neuroscience

authors： Çatal O,Wauthier S,De Boom C,Verbelen T,Dhoedt B

更新日期：2020-11-16 00:00:00

abstract：:Recently, biologically inspired models are gradually proposed to solve the problem in text analysis. Convolutional neural networks (CNN) are hierarchical artificial neural networks, which include a various of multilayer perceptrons. According to biological research, CNN can be improved by bringing in the attention mod...

journal_title：Frontiers in computational neuroscience

authors： Fu H,Niu Z,Zhang C,Ma J,Chen J

更新日期：2016-07-14 00:00:00

abstract：:Dopaminergic neurons in the mammalian substantia nigra display characteristic phasic responses to stimuli which reliably predict the receipt of primary rewards. These responses have been suggested to encode reward prediction-errors similar to those used in reinforcement learning. Here, we propose a model of dopaminerg...

journal_title：Frontiers in computational neuroscience

authors： Chorley P,Seth AK

更新日期：2011-05-18 00:00:00

abstract：:Often we need to perform tasks in an environment that changes stochastically. In these situations it is important to learn the statistics of sequences of events in order to predict the future and the outcome of our actions. The statistical description of many of these sequences can be reduced to the set of probabiliti...

journal_title：Frontiers in computational neuroscience

authors： Ostojic S,Fusi S

更新日期：2013-04-12 00:00:00

abstract：:This paper proposed a new method to determine the neuronal tuning curves for maximum information efficiency by computing the optimum firing rate distribution. Firstly, we proposed a general definition for the information efficiency, which is relevant to mutual information and neuronal energy consumption. The energy co...

journal_title：Frontiers in computational neuroscience

authors： Han F,Wang Z,Fan H

更新日期：2017-02-21 00:00:00

abstract：:Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in deci...

journal_title：Frontiers in computational neuroscience

authors： Marković D,Kiebel SJ

更新日期：2016-04-20 00:00:00

abstract：:VISUAL RECEPTIVE FIELD (RF) ATTRIBUTES IN VISUAL CORTEX OF PRIMATES HAVE BEEN EXPLAINED MAINLY FROM CORTICAL CONNECTIONS: visual RFs progress from simple to complex through cortico-cortical pathways from lower to higher levels in the visual hierarchy. This feedforward flow of information is paired with top-down proces...

journal_title：Frontiers in computational neuroscience

authors： Cortes N,van Vreeswijk C

更新日期：2012-05-28 00:00:00

abstract：:Brain computer interfaces allow users to preform various tasks using only the electrical activity of the brain. BCI applications often present the user a set of stimuli and record the corresponding electrical response. The BCI algorithm will then have to decode the acquired brain response and perform the desired task....

journal_title：Frontiers in computational neuroscience

authors： Manor R,Mishali L,Geva AB

更新日期：2016-12-20 00:00:00

abstract：:Introduction: The early and therapy-specific prediction of treatment success in major depressive disorder is of paramount importance due to high lifetime prevalence, and heterogeneity of response to standard medication and symptom expression. Hence, this study assessed the predictability of long-term antidepressant ef...

journal_title：Frontiers in computational neuroscience

authors： Klöbl M,Gryglewski G,Rischka L,Godbersen GM,Unterholzner J,Reed MB,Michenthaler P,Vanicek T,Winkler-Pjrek E,Hahn A,Kasper S,Lanzenberger R

更新日期：2020-10-06 00:00:00

abstract：:Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles placed on a flat substrate to shape structural connectivity, and in turn collective dynamics and effe...

journal_title：Frontiers in computational neuroscience

authors： Ludl AA,Soriano J

更新日期：2020-08-31 00:00:00

abstract：:Neuromodulatory inputs from brainstem systems modulate the normal function of spinal motoneurons by altering the activation properties of persistent inward currents (PICs) in their dendrites. However, the effect of the PIC on firing outputs also depends on its location in the dendritic tree. To investigate the interac...

journal_title：Frontiers in computational neuroscience

authors： Kim H,Heckman CJ

更新日期：2014-09-09 00:00:00

abstract：:A promising idea for scaling robot learning to more complex tasks is to use elemental behaviors as building blocks to compose more complex behavior. Ideally, such building blocks are used in combination with a learning algorithm that is able to learn to select, adapt, sequence and co-activate the building blocks. Whil...

journal_title：Frontiers in computational neuroscience

authors： Neumann G,Daniel C,Paraschos A,Kupcsik A,Peters J

更新日期：2014-06-11 00:00:00

abstract：:We present a network model of striatum, which generates "winnerless" dynamics typical for a network of sparse, unidirectionally connected inhibitory units. We observe that these dynamics, while interesting and a good match to normal striatal electrophysiological recordings, are fragile. Specifically, we find that rand...

journal_title：Frontiers in computational neuroscience

authors： Zheng P,Kozloski J

更新日期：2017-07-27 00:00:00

abstract：:Common computational principles underlie processing of various visual features in the cortex. They are considered to create similar patterns of contextual modulations in behavioral studies for different features as orientation and direction of motion. Here, I studied the possibility that a single theoretical framework...

journal_title：Frontiers in computational neuroscience

authors： Tzvetanov T

更新日期：2012-05-22 00:00:00

abstract：:Cooperation and competition, as two common and opposite examples of interpersonal dynamics, are thought to be reflected by different cognitive, neural, and behavioral patterns. According to the conventional approach, they have been explored by measuring subjects' reactions during individual performance or turn-based i...

journal_title：Frontiers in computational neuroscience

authors： Balconi M,Vanutelli ME

更新日期：2017-09-29 00:00:00

abstract：:The problem of cancer risk analysis is of great importance to health-service providers and medical researchers. In this study, we propose a novel Artificial Neural Network (ANN) algorithm based on the probabilistic framework, which aims to investigate patient patterns associated with their disease development. Compare...

journal_title：Frontiers in computational neuroscience

authors： Yang C,Yang J,Liu Y,Geng X

更新日期：2020-07-21 00:00:00

abstract：:Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this diversity suggests a specific and essential role in neural information processing. Therefore, a correct characterization of sho...

journal_title：Frontiers in computational neuroscience

authors： Costa RP,Sjöström PJ,van Rossum MC

更新日期：2013-06-06 00:00:00

abstract：:Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may implement predictive coding and what function their connectivity may have. W...

journal_title：Frontiers in computational neuroscience

authors： Kaplan BA,Lansner A,Masson GS,Perrinet LU

更新日期：2013-09-17 00:00:00

abstract：:Synchronization of neural activity across brain regions is critical to processes that include perception, learning, and memory. After traumatic brain injury (TBI), neuronal degeneration is one possible effect and can alter communication between neural circuits. Consequently, synchronization between neurons may change ...

journal_title：Frontiers in computational neuroscience

authors： Schumm SN,Gabrieli D,Meaney DF

更新日期：2020-03-03 00:00:00

abstract：:We address a question on the effect of common stochastic inputs on the correlation of the spike trains of two neurons when they are coupled through direct connections. We show that the change in the correlation of small amplitude stochastic inputs can be better detected when the neurons are connected by direct excitat...

journal_title：Frontiers in computational neuroscience

authors： Bolhasani E,Azizi Y,Valizadeh A

更新日期：2013-08-14 00:00:00

abstract：:A classic problem in neuroscience is how temporal sequences (TSs) can be recognized. This problem is exemplified in the olfactory system, where an odor is defined by the TS of olfactory bulb (OB) output that occurs during a sniff. This sequence is discrete because the output is subdivided by gamma frequency oscillatio...

journal_title：Frontiers in computational neuroscience

authors： Sanders H,Kolterman BE,Shusterman R,Rinberg D,Koulakov A,Lisman J

更新日期：2014-09-17 00:00:00

abstract：:What are the functional neuroimaging measurements required for more fully characterizing the events and locations of neocortical activity? A prime assumption has been that modulation of cortical activity will inevitably be reflected in changes in energy utilization (for the most part) changes of glucose and oxygen con...

journal_title：Frontiers in computational neuroscience

authors： Robinson SE,Mandell AJ,Coppola R

更新日期：2013-01-24 00:00:00

abstract：:Persistent activity observed during delayed-response tasks for spatial working memory (Funahashi et al., 1989) has commonly been modeled by recurrent networks whose dynamics is described as a bump attractor (Compte et al., 2000). We examine the effects of interareal architecture on the dynamics of bump attractors in s...

journal_title：Frontiers in computational neuroscience

authors： Kilpatrick ZP

更新日期：2013-07-01 00:00:00

abstract：:We describe a model for cortical development that resolves long-standing difficulties of earlier models. It is proposed that, during embryonic development, synchronous firing of neurons and their competition for limited metabolic resources leads to selection of an array of neurons with ultra-small-world characteristic...

journal_title：Frontiers in computational neuroscience

authors： Wright JJ,Bourke PD

更新日期：2013-02-15 00:00:00

abstract：:The human brain is a complex system composed by several large scale intrinsic networks with distinct functions. The low frequency oscillation (LFO) signal of blood oxygen level dependent (BOLD), measured through resting-state fMRI, reflects the spontaneous neural activity of these networks. We propose to characterize ...

journal_title：Frontiers in computational neuroscience

authors： Qi S,Gao Q,Shen J,Teng Y,Xie X,Sun Y,Wu J

更新日期：2018-08-03 00:00:00

abstract：:We do not claim that the brain is completely deterministic, and we agree that noise may be beneficial in some cases. But we suggest that neuronal variability may be often overestimated, due to uncontrolled internal variables, and/or the use of inappropriate reference times. These ideas are not new, but should be re-ex...

journal_title：Frontiers in computational neuroscience

authors： Masquelier T

更新日期：2013-02-25 00:00:00

abstract：:Neuron classification is an important component in analyzing network structure and quantifying the effect of neuron topology on signal processing. Current quantification and classification approaches rely on morphology projection onto lower-dimensional spaces. In this paper a 3D visualization and quantification tool i...

journal_title：Frontiers in computational neuroscience

authors： Grein S,Qi G,Queisser G

更新日期：2020-06-26 00:00:00

abstract：:Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the informa...

journal_title：Frontiers in computational neuroscience

authors： Kapucu FE,Välkki I,Mikkonen JE,Leone C,Lenk K,Tanskanen JM,Hyttinen JA

更新日期：2016-10-18 00:00:00

abstract：:Internal coordination models hold that early nervous systems evolved in the first place to coordinate internal activity at a multicellular level, most notably the use of multicellular contractility as an effector for motility. A recent example of such a model, the skin brain thesis, suggests that excitable epithelia u...

journal_title：Frontiers in computational neuroscience

authors： de Wiljes OO,van Elburg RA,Biehl M,Keijzer FA

更新日期：2015-09-15 00:00:00