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Dynamical Systems in Neuroscience:

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2 Introductionapical dendritessomarecord<strong>in</strong>gelectrodebasal dendritesmembrane potential, mV+35 mVspike40 ms-60 mVtime, mssynapse0.1 mmaxonFigure 1.1: Two <strong>in</strong>terconnected cortical pyramidal neurons (hand draw<strong>in</strong>g) and <strong>in</strong> vitrorecorded spike.1.1.1 What is a spike?A typical neuron receives <strong>in</strong>puts from more than 10, 000 other neurons through the contactson its dendritic tree called synapses; see Fig. 1.1. The <strong>in</strong>puts produce electricaltransmembrane currents that change the membrane potential of the neuron. Synapticcurrents produce changes, called post-synaptic potentials (PSPs). Small currents producesmall PSPs; larger currents produce significant PSPs that could be amplified bythe voltage-sensitive channels embedded <strong>in</strong> neuronal membrane and lead to the generationof an action potential or spike – an abrupt and transient change of membranevoltage that propagates to other neurons via a long protrusion called an axon.Such spikes are the ma<strong>in</strong> means of communication between neurons. In general,neurons do not fire on their own, they do it as a result of the <strong>in</strong>com<strong>in</strong>g spikes from otherneurons. One of the most fundamental question of neuroscience is what exactly makesneurons fire? What is it <strong>in</strong> the <strong>in</strong>com<strong>in</strong>g pulses that elicits a response <strong>in</strong> one neuronbut not <strong>in</strong> another one? Why could two neurons have different responses to exactlythe same <strong>in</strong>put and identical responses to completely different <strong>in</strong>puts? To answerthese questions, we need to understand the dynamics of spike-generation mechanismsof neurons.Most <strong>in</strong>troductory neuroscience books describe neurons as <strong>in</strong>tegrators with a threshold:Neurons sum up <strong>in</strong>com<strong>in</strong>g PSPs and “compare” the <strong>in</strong>tegrated PSP with a certa<strong>in</strong>voltage value, called fir<strong>in</strong>g threshold. If it is below the threshold, the neuron rema<strong>in</strong>squiescent; when it is above the threshold, the neuron fires an all-or-none spike, as <strong>in</strong>Fig. 1.3, and resets its membrane potential. To add theoretical plausibility to thisargument, the books refer to the Hodgk<strong>in</strong>-Huxley model of spike-generation <strong>in</strong> squid

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