Linearization of excitatory synaptic integration at no extra cost

@article{Morel2017LinearizationOE,
  title={Linearization of excitatory synaptic integration at no extra cost},
  author={Daniel Eric Morel and Chandan Singh and William B. Levy},
  journal={Journal of Computational Neuroscience},
  year={2017},
  volume={44},
  pages={173-188}
}
In many theories of neural computation, linearly summed synaptic activation is a pervasive assumption for the computations performed by individual neurons. Indeed, for certain nominally optimal models, linear summation is required. However, the biophysical mechanisms needed to produce linear summation may add to the energy-cost of neural processing. Thus, the benefits provided by linear summation may be outweighed by the energy-costs. Using voltage-gated conductances in a relatively simple… Expand
3 Citations
The physics of brain network structure, function and control
TLDR
The organizing principles of brain network architecture instantiated in structural wiring under constraints of spatial embedding and energy minimization are described and surveyed, as well as models ofbrain network function that stipulate how neural activity propagates along structural connections. Expand
Adaptation of General Concepts of Software Testing to Neural Networks
TLDR
The problem of testing and debugging learning neural network systems is discussed and how to get rid of the noted drawbacks of the systems under study is discussed. Expand

References

SHOWING 1-10 OF 72 REFERENCES
Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons
TLDR
Under a variety of stimulation regimes, this work finds a linear summation of most input combinations that is implemented by a surprising balance of boosting and shunting mechanisms, and suggests that a simple arithmetic is used by apparently complex dendritic trees. Expand
The cost of linearization
  • D. Morel, W. Levy
  • Physics, Medicine
  • Journal of Computational Neuroscience
  • 2009
TLDR
To improve the understanding of evolved function, the relative metabolic costs of linearization are quantified and the relationships between the results here and resting conductance to ground, synaptic conductance, and number of active synapses are simple and easily scaled. Expand
Amplification and linearization of distal synaptic input to cortical pyramidal cells.
TLDR
Computer simulations were used to study the effect of voltage-dependent calcium and potassium conductances in the apical dendritic tree of a pyramidal cell on the synaptic efficacy of apical synaptic input and derived activation curves that allowed explicit characterization of the input-output relationship of the entire neuron. Expand
Dendritic integration of excitatory synaptic input
  • J. Magee
  • Physics, Medicine
  • Nature Reviews Neuroscience
  • 2000
TLDR
This review discusses how passive and active dendritic properties, and the functional characteristics of the synapse, shape these three elements of synaptic integration. Expand
Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell
TLDR
A CA1 pyramidal cell model calibrated with a broad spectrum of in vitro data found that the cell's subthreshold responses to paired inputs are best described as a sum of nonlinear subunit responses, where the subunits correspond to different dendritic branches. Expand
Energy-Efficient Neuronal Computation via Quantal Synaptic Failures
TLDR
Using a model of neural computation and matching the information gathered by dendritic summation to the axonal information transmitted,H(p*), conditions are defined that guarantee synaptic failures can improve the energetic efficiency of neurons. Expand
Dendritic I h normalizes temporal summation in hippocampal CA 1 neurons
Most neurons of the mammalian CNS receive information through synaptic input located predominately within dendritic arbors. Here in the dendrites, thousands of excitatory and inhibitory synapticExpand
Somatic EPSP amplitude is independent of synapse location in hippocampal pyramidal neurons
TLDR
The amplitude and kinetics of excitatory synaptic input across the apical dendrites of CA1 pyramidal neurons using dual whole-cell recordings are characterized and it is found that dendritic EPSP amplitude increases with distance from the soma, counterbalancing the filtering effects of the dendrite and reducing the location dependence of somatic EPSP intensity. Expand
A Mathematical Theory of Energy Efficient Neural Computation and Communication
  • T. Berger, W. Levy
  • Mathematics, Computer Science
  • IEEE Transactions on Information Theory
  • 2010
TLDR
A neuroscience-based mathematical model of how a neuron stochastically processes data and communicates information is introduced and analyzed and largely characterize j as an engine of computation and communication. Expand
Linearity of synaptic interactions in the assembly of receptive fields in cat visual cortex
  • D. Ferster
  • Psychology, Medicine
  • Current Opinion in Neurobiology
  • 1994
TLDR
A threshold and expansive nonlinearity in the spike-generating mechanism enhances selectivity for stimulus features such as orientation, direction, and spatial frequency. Expand
...
1
2
3
4
5
...