Code-specific policy gradient rules for spiking neurons
... actions is proportional to the spike counts of two output neurons: p(ak |s) = Nk /(N1 + N2 ). B Learning curves of the 2-armed bandit. Blue: Spike count learning rule (7), Red: Full spike train rule (16). C Evolution of the spike count in response to the two input states during learning. Both reward ...
... actions is proportional to the spike counts of two output neurons: p(ak |s) = Nk /(N1 + N2 ). B Learning curves of the 2-armed bandit. Blue: Spike count learning rule (7), Red: Full spike train rule (16). C Evolution of the spike count in response to the two input states during learning. Both reward ...
Children's intellectual ability is associated with structural network integrity
... After the visual inspection for possible artifacts of MR data, further preprocessing of DTI scans was done using the FSL toolbox (http://fsl. fmrib.ox.ac.uk/fsl/fslwiki/, Version 5.0) and Diffusion Toolkit (http:// trackvis.org). The preprocessing involved: (1) removal of non-brain regions, (2) dist ...
... After the visual inspection for possible artifacts of MR data, further preprocessing of DTI scans was done using the FSL toolbox (http://fsl. fmrib.ox.ac.uk/fsl/fslwiki/, Version 5.0) and Diffusion Toolkit (http:// trackvis.org). The preprocessing involved: (1) removal of non-brain regions, (2) dist ...
slides
... light touch elicits action potentials from the neuron. Neurons that participate in later stages of cortical processing (Brodmann's areas 1 and 2) have larger receptive fields and more specialized inputs than neurons in area 3b. The neuron illustrated from area 2 is directionally sensitive to motion ...
... light touch elicits action potentials from the neuron. Neurons that participate in later stages of cortical processing (Brodmann's areas 1 and 2) have larger receptive fields and more specialized inputs than neurons in area 3b. The neuron illustrated from area 2 is directionally sensitive to motion ...
Single-trial decoding of intended eye movement goals from lateral
... and target location probability, and any significant MI in later epochs cannot be trusted to be task-related. Further, some neurons were excluded from characterization if there was zero variance across trials, which typically only occurs in neurons with very low firing rates. Trials were then groupe ...
... and target location probability, and any significant MI in later epochs cannot be trusted to be task-related. Further, some neurons were excluded from characterization if there was zero variance across trials, which typically only occurs in neurons with very low firing rates. Trials were then groupe ...
PDF file
... sensors, (2) the effectors, (3) the DP, (4) the computational resource, and (5) the experience. “Effector” is a general term that includes muscles and glands. The term “motor” is often used to replace effector, although its meaning is often restricted to motor effectors (muscles), not necessarily in ...
... sensors, (2) the effectors, (3) the DP, (4) the computational resource, and (5) the experience. “Effector” is a general term that includes muscles and glands. The term “motor” is often used to replace effector, although its meaning is often restricted to motor effectors (muscles), not necessarily in ...
What is the neuron`s resting potential?
... and negatively charged protein ions are distributed unevenly across the neuron’s membrane. • The ratio of negative to positive charges is greater inside the resting neuron than outside. ...
... and negatively charged protein ions are distributed unevenly across the neuron’s membrane. • The ratio of negative to positive charges is greater inside the resting neuron than outside. ...
Computing auditory perception - Machine Learning Group, TU Berlin
... make use of such a model, e.g. in hearing aids, compression, automated music analysis, or music composition? We can, to some extent. But often it does not work so well due to the fact that the neurological and psychoacoustic knowledge on which it is based is relatively poor. Often artificial neural n ...
... make use of such a model, e.g. in hearing aids, compression, automated music analysis, or music composition? We can, to some extent. But often it does not work so well due to the fact that the neurological and psychoacoustic knowledge on which it is based is relatively poor. Often artificial neural n ...
A theory: parts of the brain control other parts
... notion of a controller in any system (natural or man-made or any combination of them) is very much disputed by many in brain-related sciences. Dealing with this issue also brings out a very important property of controllers. The standard argument against controllers runs as follows. The car, the air ...
... notion of a controller in any system (natural or man-made or any combination of them) is very much disputed by many in brain-related sciences. Dealing with this issue also brings out a very important property of controllers. The standard argument against controllers runs as follows. The car, the air ...
Slide 1
... related to nervous system along with the old technique of Neuroprosthetics. Techniques like EEG, MEG and neurochips have come into discussions since the BCI application have started developing. This has provided a new work area for scientists and researchers around the world. ...
... related to nervous system along with the old technique of Neuroprosthetics. Techniques like EEG, MEG and neurochips have come into discussions since the BCI application have started developing. This has provided a new work area for scientists and researchers around the world. ...
The Emergence of Rule-Use: A Dynamic Neural Field Model of... Aaron Buss ()
... processes at work. It is unclear, for instance, how a hierarchical rule structure could be implemented in real-time in a nervous system. Similarly, ties to known changes in neural development have remained largely at the descriptive level. Morton and Munakata (2001) have made attempts to move explan ...
... processes at work. It is unclear, for instance, how a hierarchical rule structure could be implemented in real-time in a nervous system. Similarly, ties to known changes in neural development have remained largely at the descriptive level. Morton and Munakata (2001) have made attempts to move explan ...
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
... smaller in the tangential direction. At this spatial resolution, the potentials due to local synaptic currents are negligible compared to the electric potentials created by an action potential. These signals are usually band-pass filtered from 300 to 10,000 Hz and then passed through a spike discrim ...
... smaller in the tangential direction. At this spatial resolution, the potentials due to local synaptic currents are negligible compared to the electric potentials created by an action potential. These signals are usually band-pass filtered from 300 to 10,000 Hz and then passed through a spike discrim ...
Learning Through Imitation: a Biological Approach to Robotics
... and process low level information from sensory and proprioceptive areas, evaluate the state of the system, execute a step of the sequence and wait for the result. The burden would be so high that it would not be able to execute any other function in the meantime. Nevertheless, this highly cognitive ...
... and process low level information from sensory and proprioceptive areas, evaluate the state of the system, execute a step of the sequence and wait for the result. The burden would be so high that it would not be able to execute any other function in the meantime. Nevertheless, this highly cognitive ...
Olfactory Bulb Simulation
... 1. Odors are first received on olfactory epithelium, where 1000 different types of receptors are present ...
... 1. Odors are first received on olfactory epithelium, where 1000 different types of receptors are present ...
0pt20pt [1.44]Spike Train Correlations Induced [1ex] [1.44]by
... The in-degree of a vertex is the number of its incoming edges, the number of its outgoing edges is called out-degree. In the adjacency matrix, the in-degree is the sum of all entries in the corresponding row. The out-degree is the sum of all entries in the corresponding column. ...
... The in-degree of a vertex is the number of its incoming edges, the number of its outgoing edges is called out-degree. In the adjacency matrix, the in-degree is the sum of all entries in the corresponding row. The out-degree is the sum of all entries in the corresponding column. ...
Neural computations that underlie decisions about sensory stimuli
... light, with some values being more likely than others when light is present (see Box 1). How do you use the value from the detector to decide if the light was present? This problem consists of deciding which hypothesis – light is present (h1) or light is absent (h2) – is most likely to be true given ...
... light, with some values being more likely than others when light is present (see Box 1). How do you use the value from the detector to decide if the light was present? This problem consists of deciding which hypothesis – light is present (h1) or light is absent (h2) – is most likely to be true given ...
Dimensions of Scalability in Cognitive Models
... Research Questions • Does network structure affect convergence towards a common community vocabulary? – Or: Is declarative memory robust w.r.t. a variety of network structures? • The small-scale, empirical and modeling data suggest that extreme networks (fully vs. disconnected) arrive at similar pe ...
... Research Questions • Does network structure affect convergence towards a common community vocabulary? – Or: Is declarative memory robust w.r.t. a variety of network structures? • The small-scale, empirical and modeling data suggest that extreme networks (fully vs. disconnected) arrive at similar pe ...
Supporting Information S1.
... MEA recording system with an inter-node spacing of 200 m. Consequently, here we show that neurites can extend significantly from the soma over multiple nodes, up to 800 m (4 nodes). (Right) The same culture was counterstained with an antibody against βTubIII to show the whole network development. ...
... MEA recording system with an inter-node spacing of 200 m. Consequently, here we show that neurites can extend significantly from the soma over multiple nodes, up to 800 m (4 nodes). (Right) The same culture was counterstained with an antibody against βTubIII to show the whole network development. ...
Neural Correlates of Learning in the Prefrontal Cortex of the Monkey
... The following section illustrates the properties of the bistable rule for a network. This rule allows a DR task to be learned and neuronal activity in prefrontal neurons during acquisition of this task to be predicted. A Neural Network Model of Prefrontal Circuits A neural network model, which illus ...
... The following section illustrates the properties of the bistable rule for a network. This rule allows a DR task to be learned and neuronal activity in prefrontal neurons during acquisition of this task to be predicted. A Neural Network Model of Prefrontal Circuits A neural network model, which illus ...
Levels of analysis in neural modeling
... models is that they are so complex that they cannot readily be analyzed, and yet can exhibit a huge range of behaviors depending on the exact values of the parameters. There are various extensions of this single-cell use of conductance-based models. One is that it is common to model networks of neur ...
... models is that they are so complex that they cannot readily be analyzed, and yet can exhibit a huge range of behaviors depending on the exact values of the parameters. There are various extensions of this single-cell use of conductance-based models. One is that it is common to model networks of neur ...