Related Experiment Video
Updated: Mar 7, 2026
10:52
Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
Published on: April 23, 2019
13.8K
Information Maximization Explains the Sparseness of Presynaptic Neural Response
1Physics Department, Drew University, Madison, NJ 07940, U.S.A. mkouh@drew.edu.
Neural Computation
|February 10, 2017
Summary
Maximizing information transmission in neural networks requires using the full output range of postsynaptic neurons. A sparse input distribution counters bias from converging inputs, optimizing signal processing in sensory neural networks.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Information Theory
Background:
- Sensory neural networks involve presynaptic neurons transmitting information to a postsynaptic neuron.
- Effective information transmission relies on utilizing the postsynaptic neuron's complete operating range.
Purpose of the Study:
- To investigate how to maximize information transmission in sensory neural networks.
- To determine the optimal input distribution for enhancing signal processing.
Main Methods:
- Analysis of information transmission principles in neural networks.
- Modeling of presynaptic input convergence and its effect on postsynaptic neuron output bias.
Main Results:
- Presynaptic input convergence creates an inherent bias towards higher outputs in postsynaptic neurons.
- A sparse input distribution effectively counteracts this bias.
Conclusions:
- Sparse input distributions are crucial for optimizing information transmission in sensory neural networks.
- Countering output bias through sparse inputs maximizes the utilization of the postsynaptic neuron's operating range.
Related Concept Videos
01:32Postsynaptic Potential (PSP)
7.1K
Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
7.1K
01:19The Role of Ion Channels in Neuronal Computation
4.1K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.1K
01:28Integration of Synaptic Events
5.3K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
5.3K
01:28Neuronal Communication
4.0K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
4.0K
01:29Excitatory and Inhibitory Effects of Neurotransmitters
14.0K
When an action potential reaches the presynaptic axon terminal, it releases neurotransmitters from the neuron into the synaptic cleft at a chemical synapse. The released neurotransmitter can be excitatory or inhibitory. The critical criteria commonly used to determine whether a molecule is a neurotransmitter at a chemical synapse are the molecule's presence in the presynaptic neuron. Second, its release is in response to strong presynaptic depolarization. And lastly, the presence of...
14.0K
02:47The Synapse
136.0K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
136.0K