To test whether these distributed representations of meaning are neurally plausible, a number of studies have attempted to learn a mapping between particular semantic dimensions and patterns of brain activation

the only thing an artificial neuron can do: classify a data point into one of two kinds by examining input values with weights and bias.

In our research, i.e., the wormnet project, we try to build machine learning models motivated by the C. elegans nervous system. By doing so, we have to pay a cost, as we constrain ourselves to such models in contrast to standard artificial neural networks, whose modeling space is purely constraint by memory and compute limitations. However, there are potentially some advantages and benefits we gain. Our objective is to better understand what’s necessary for effective neural information processing to emerge.

"dividing n-dimensional space with a hyperplane."

reticular theory.

gap junttion

Electrical synapses

synaptic cleft

chemical synapse,

Dendrites receive incoming signals and carry them to the cell body

Axons carry signals (action potentials) away from the cell body and toward the synapse

A synapse is a junction between two neurons, that is, between the axon terminal of the presynaptic cell and the dendrite (or sometimes, the cell body itself) of the postsynaptic cell.

Basic Neuron Anatomy

Neurons, or nerve cells, consist of three major parts: cell body (soma), axon, and dendrites.

the neuron doctrine

Cilia in the brain may be busier than previously thought