By Christof Koch
Neural community examine usually builds at the fiction that neurons are uncomplicated linear threshold devices, thoroughly neglecting the hugely dynamic and intricate nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: info Processing in unmarried Neurons demanding situations this concept, utilizing richly distinctive experimental and theoretical findings from mobile biophysics to provide an explanation for the repertoire of computational capabilities on hand to unmarried neurons. the writer indicates how person nerve cells can multiply, combine, or hold up synaptic inputs and the way info might be encoded within the voltage around the membrane, within the intracellular calcium focus, or within the timing of person spikes.Key subject matters lined comprise the linear cable equation; cable idea as utilized to passive dendritic timber and dendritic spines; chemical and electric synapses and the way to regard them from a computational viewpoint; nonlinear interactions of synaptic enter in passive and energetic dendritic timber; the Hodgkin-Huxley version of motion power iteration and propagation; section house research; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their position in info processing; the function of diffusion, buffering and binding of calcium, and different messenger structures in info processing and garage; brief- and long term types of synaptic plasticity; simplified versions of unmarried cells; stochastic features of neuronal firing; the character of the neuronal code; and unconventional versions of sub-cellular computation.Biophysics of Computation: details Processing in unmarried Neurons serves as an amazing textual content for complex undergraduate and graduate classes in mobile biophysics, computational neuroscience, and neural networks, and may entice scholars and execs in neuroscience, electric and laptop engineering, and physics.
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Extra resources for Biophysics of Computation: Information Processing in Single Neurons
Indeed, they frequently penetrate the membrane, allowing ions to pass from one side to the other (Fig. 1). Protein molecules, making up anywhere from 20 to 80% (dry weight) of the membrane, subserve an enormous range of specific cellular functions, including ionic channels, enzymes, pumps, and receptors. They act as doors or gates in the lipid barrier through which particular information or substances can be transferred from one side to the other. As we shall see later on, a great variety of such "gates" exists, with different keys to open them.
Such a core conductor can be visualized as a thin membrane or sheath surrounding a cylindrical and electrically conducting core of constant cross section placed in a solution of electrolytes (see Fig. 2). The study of the partial differential equations describing the evolution of the electrical potential in these structures gave rise to a body of theoretical knowledge termed cable theory. 1 The application of cable theory to passive, spatially extended dendrites started in the late 1950s and blossomed in the 1960s and 1970s, primarily due to the work of Rail (1989).
2 A Simple RC Circuit • 9 Fig. 2 ELECTRICAL STRUCTURE OF A SMALL PASSIVE NEURON (A) Equivalent electrical model of a spherical cell with passive membrane. An intracellular electrode delivers current to the cell. By convention, an outward current is positive; thus, the arrow. We assume that the dimensions of the cell are small enough so that spatial variations in the membrane potential can be neglected. (B) Under these conditions, the cell can be reduced to a single RC compartment in series with an ideal current source 7jnj.
Biophysics of Computation: Information Processing in Single Neurons by Christof Koch