We revisit the method of conformal mapping and apply it to the setting found in mechanosensory detection systems such as the lateral-line system of fish. We derive easy-to-use equations capable of describing analytically the influence of the stimulus shape on the flow field and thus on the input to the lateral line. The present approach shows that the shape of a submerged moving object affects its perception if its distance to a detecting animal does not exceed the object's body length.
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Article Synopsis
- Neurons communicate information through variable action potentials that can differ significantly with each stimulus repetition.
- The study investigates the reliability of cortical neurons when stimulated with simulated synaptic inputs and finds that parvalbumin+ (PV) interneurons exhibit high spiking reliability compared to excitatory neurons.
- This high reliability in PV interneurons enables precise inhibition of other neurons, while the variability in excitatory neurons allows for better integration of synaptic inputs, ultimately influencing how information is processed in the brain.
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