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Related Concept Videos

Overview of Synapses01:25

Overview of Synapses

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A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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The Synapse02:47

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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.
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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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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...
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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
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Evaluation of Synapse Density in Hippocampal Rodent Brain Slices
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Impact of functional synapse clusters on neuronal response selectivity.

Balázs B Ujfalussy1, Judit K Makara2

  • 1Laboratory of Neuronal Signaling, Institute of Experimental Medicine, 1083, Budapest, Hungary. balazs.ujfalussy@gmail.com.

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Synaptic clusters impact neuronal function when moderately large and structured. Local interactions likely drive cluster formation, influencing neuron output.

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Area of Science:

  • Computational neuroscience
  • Neuronal plasticity
  • Dendritic integration

Background:

  • Synaptic clustering is hypothesized to modulate neuronal input-output transformation through local nonlinearities.
  • The in vivo effects of synaptic clusters on somatic membrane potential (sVm) and their formation mechanisms remain unclear.

Purpose of the Study:

  • To computationally investigate the impact of functional synaptic clusters on the sVm response of CA1 and L2/3 pyramidal neurons.
  • To elucidate the rules governing the formation of functional synaptic clusters in vivo.

Main Methods:

  • Development of a computational approach to simulate and measure the effects of synaptic clusters on neuronal models.
  • Utilized biophysical models of CA1 and L2/3 pyramidal neurons subjected to in vivo-like inputs.

Main Results:

  • Small, randomly connected synaptic clusters showed no significant impact on sVm.
  • Optimal clustering for state-dependent tuning required ~10-20 synapses per cluster with structured connectivity.
  • Global plasticity rules failed to generate functional clustering without nonlinear amplification of random clusters.

Conclusions:

  • Functional synaptic clusters require moderate size and structured connectivity to influence neuronal responses.
  • Local synaptic interactions are suggested as the primary mechanism for cluster formation.
  • Synaptic clustering plays a role in neuronal computation, particularly when organized and sufficiently large.