Probing the structure–function relationship with neural networks constructed by solving a system of linear equations
- Computer ScienceScientific reports
This paper argues that the proposed method is a complementary and needed alternative to the way neural networks are constructed to model brain function and employs it to probe the structure–function relationship in a sequence memory task.
Statistical physics of neural systems
- Computer Science
This work represents learning as an optimization problem, actually implementing a local search, in the synaptic space, of specific configurations, known as solutions and making a neural network able to accomplish a series of different tasks.
Functional Implications of Dale's Law in Balanced Neuronal Network Dynamics and Decision Making
- BiologyFrontiers in Neuroscience
It is argued that the one-population balanced neuronal network demonstrates more robust balanced activity for systems with less computational units, such as honeybee colonies, whereas the two-population network exhibits a more rapid response to temporal variations in network inputs, as required by the brain.
Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution
- Computer ScienceFrontiers in Neuroscience
It is concluded that even for simple networks with non-plastic neurons and synapses, a discretization of synaptic weights can lead to substantial deviations in the firing statistics unless the discretized is performed with care and guided by a rigorous validation process.
Large-scale dendritic spine extraction and analysis through petascale computing
- Computer Science, BiologybioRxiv
An iterative pipeline is described that couples human and machine feedback to produce accurate segmentation results in time frames that will make connectomics a more routine method for exploring how synapse biology changes across a number of biological conditions.
Learning receptive field properties of complex cells in V1
- BiologyPLoS computational biology
A biologically plausible model for complex cells that learns to pool inputs from simple cells based on the presentation of natural scene stimuli and demonstrates that the learning rule can describe a diversity of complex cells, similar to those observed experimentally.
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
- Biology, Computer ScienceNeural Computation
It is shown that it is possible to incorporate neuron models with input-dependent nonlinearities into the Neural Engineering Framework without compromising high-level function and that nonlinear postsynaptic currents can be systematically exploited to compute a wide variety of multivariate, band-limited functions.
Primate neuronal connections are sparse in cortex as compared to mouse.
- BiologyCell reports
The cell biology of synapse formation
- BiologyThe Journal of cell biology
Thomas Südhof discusses the cell-biological principles underlying the assembly of specific synaptic connections with defined properties that control neural circuits.
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum
- Biology, PsychologyCogSci
This model is capable of reproducing key properties of eyeblink conditioning, while generating neurophysiological data that could be experimentally verified, and employs recent advances in large-scale neural network modeling to build a biologically plausible spiking neural network based on the cerebellar microcircuitry.
SHOWING 1-6 OF 6 REFERENCES
Corelease of two fast neurotransmitters at a central synapse.
Results indicate that spinal interneurons release both glycine and GABA to activate functionally distinct receptors in their postsynaptic target cells.
From electrical to chemical transmission in the central nervous system: The closing address of the Sir Henry Dale Centennial Symposium Cambridge, 19 September 1975
- GeologyNotes and Records of the Royal Society of London
The author focuses on the story as Dale told it in his many lectures, and there are present here many of those concerned in those memorable disputations, notably of course Wilhelm Feldberg, but also Marthe Vogt, Ulf von Euler, H. O. Bacq.
Cholinergic and inhibitory synapses in a pathway from motor‐axon collaterals to motoneurones
- BiologyThe Journal of physiology
Pharmacology and Nerve-Endings
It is shown that Langley and Anderson's evidence, long available, as to the kinds of peripheral efferent fibres which can replace one another in regeneration, can be summarized by the statement, that cholinergic can replaceCholinergic fibres, and that adrenergic can replaced adrenergic fibre; but that fibres of different chemical function cannot replace oneAnother.
Reactions of denervated voluntary muscle, and their bearing on the mode of action of parasympathetic and related nerves
- MedicineThe Journal of physiology
The recent careful review by Gasser of work on these contracture responses of denervated muscles makes it unnecessary for us to give a connected historical survey; the authors need only refer, in their proper places, to earlier observations bearing on their own.
The action of adrenalin
- BiologyThe Journal of physiology
I have repeated the experiment of clean excision of the suprarenal glands and find that the animal, when moribund, exhibits symptoms that are referable to a hindrance of the activities of those tissues especially that are innervated by the sympathetic.