Physicists negate century-old assumption regarding neurons and brain activity

December 21, 2017, Bar-Ilan University
The old scheme for a neuron functioning as an excitable unit (left), and the new one with left/right/down sensitivities (right) Credit: Prof. Ido Kanter

Neurons are the basic computational building blocks that compose our brain. Their number is approximately one Tera (trillion), similar to Tera-bits in midsize hard discs. According to the neuronal computational scheme, which has been used for over a century, each neuron functions as a centralized excitable element. The neuron accumulates its incoming electrical signals from connecting neurons through several terminals, and generates a short electrical pulse, known as a spike, when its threshold is reached.

Using new types of experiments on neuronal cultures, a group of scientists, led by Prof. Ido Kanter, of the Department of Physics at Bar-Ilan University, has demonstrated that this century-old assumption regarding brain activity is mistaken.

In an article published today in the journal Scientific Reports, the researchers go against conventional wisdom to show that each neuron functions as a collection of excitable elements, where each excitable element is sensitive to the directionality of the origin of the input signal. Two weak inputs from different directions (e.g., "left" and "right") will not sum up to generate a spike, while a strong input from "left" will generate a different spike waveform than that from the "right".

"We reached this conclusion using a new experimental setup, but in principle these results could have been discovered using technology that has existed since the 1980s. The belief that has been rooted in the scientific world for 100 years resulted in this delay of several decades," said Prof. Kanter and his team of researchers, including Shira Sardi, Roni Vardi, Anton Sheinin, and Amir Goldental.

The new results call for a re-examination of neuronal functionalities beyond the traditional framework and, in particular, for an examination into the origin of degenerative diseases. Neurons which are incapable of differentiating between "left" and "right"—similar to distortions in the entire human body—might be a starting point for discovering the origin of these diseases.

The new realization for the computational scheme of a neuron calls into question the spike sorting technique which is at the center of activity of hundreds of laboratories and thousands of scientific studies in neuroscience. This method was mainly invented to overcome the technological barrier to measure the activity from many simultaneously, using the assumption that each neuron tends to fire spikes of a particular waveform which serves as its own electrical signature. However, this assumption, which resulted from enormous scientific efforts and resources, is now questioned by the work of Kanter's lab.

Explore further: Neuron types in brain are defined by gene activity shaping their communication patterns

More information: Shira Sardi et al, New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units, Scientific Reports (2017). DOI: 10.1038/s41598-017-18363-1

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2.5 / 5 (2) Dec 21, 2017
Connectionist neurological models are reductionist nonsensical claptrap. http://thingumbob...tal.html
not rated yet Dec 21, 2017
So, statistically, are we pretty sure Ido Kantor is right, or is this editoral sensaitonalism?
5 / 5 (1) Dec 21, 2017
Neurons are not similar to computer bits or even shift registers but to fairly simple cores (CPU Cores) that are able to perform a number of fairly simple functions. All neurons are in the 'ON' state (polarised) when not firing, a continuous 'OFF' state only occurs when the neuron dies.
5 / 5 (1) Dec 21, 2017
This study negates nothing. It only refines our thinking about the way that neurons behave and communicate.

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