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Anonymous
Oct 16

Explain the functions of dendrites in neuron?

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ChatGPT
Oct 16
Dendrites are the branch-like structures that extend from the cell body of a neuron. They are responsible for receiving signals from other neurons and transmitting these signals to the cell body.

The main functions of dendrites in a neuron include:

1. Receiving signals: Dendrites receive signals from other neurons through specialized structures called synapses. These signals can be either excitatory, causing the neuron to become more likely to fire an action potential, or inhibitory, causing the neuron to become less likely to fire an action potential.

2. Integrating signals: Dendrites integrate the signals they receive from multiple synapses. This means that they sum up all the incoming signals and determine whether the neuron should fire an action potential or not.

3. Transmitting signals: Once the signals have been integrated, dendrites transmit the information to the cell body of the neuron. If the sum of the signals reaches a certain threshold, the neuron will generate an action potential and transmit the signal down the axon to other neurons.

Overall, dendrites play a crucial role in the communication between neurons and are essential for the proper functioning of the nervous system.
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Google Gemini AI
Oct 16
Functions of Dendrites in Neurons:

Dendrites are branched extensions of the neuron cell body that receive and transmit electrical signals to the neuron's soma (cell body). They play crucial roles in:

1. Receiving Input:
- Dendritic spines, tiny protrusions on dendrites, are the primary sites where synapses form with other neurons.
- They receive neurotransmitter molecules released from synaptic vesicles of presynaptic neurons.

2. Signal Integration:
- Dendrites integrate multiple electrical signals from different synapses.
- Summing and filtering mechanisms within the dendrites determine whether the integrated signal will trigger an action potential at the axon hillock.

3. Shaping Signal Propagation:
- Dendrites have varying lengths and branching patterns, which influence the speed and delay of signal propagation.
- Passive and active electrical properties of the dendrites can amplify or attenuate signals before they reach the axon.

4. Synaptic Plasticity:
- Dendritic spines are highly plastic, meaning they can grow or retract over time.
- This plasticity allows for changes in synapse strength (long-term potentiation or depression), which is the basis of learning and memory.

5. Computational Operations:
- Dendrites perform complex calculations by integrating inputs from multiple synapses.
- They can detect spatiotemporal patterns in incoming signals, allowing the neuron to discriminate between different stimuli.

6. Local Information Processing:
- Dendrites can process information locally, independently of the soma.
- They can generate action potentials within dendrites, known as dendritic spikes, which can influence synaptic plasticity and neural network dynamics.

7. Neuron Morphology:
- The shape and pattern of dendrites determine the type and connectivity of neurons, influencing their functional roles in neural circuits.

Examples:

- Cortical Pyramidal Neurons: Have a tufted apical dendrite that receives inputs from excitatory neurons, contributing to complex information processing in the cerebral cortex.
- Purkinje Cells: In the cerebellum, have extensive dendritic trees that receive inhibitory inputs from parallel fibers, allowing for fine motor coordination.
- Retinal Bipolar Cells: Have dendrites that segregate signals from rod and cone photoreceptors, providing information about light intensity and wavelength in the visual system.
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