17 Matching Annotations
  1. Dec 2021
    1. 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
    1. 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.

      How does this relate to "weighted sum shows similarity between the weights and the inputs"?

  2. Jul 2021
    1. 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.
  3. Jun 2021
  4. Mar 2021
  5. Jan 2019
    1. reticular theory.
    2. gap junttion

    3. Electrical synapses
    4. synaptic cleft
    5. chemical synapse,

    6. Dendrites receive incoming signals and carry them to the cell body
    7. Axons carry signals (action potentials) away from the cell body and toward the synapse
    8. 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.
    9. Basic Neuron Anatomy

    10. Neurons, or nerve cells, consist of three major parts: cell body (soma), axon, and dendrites.
    11. the neuron doctrine
  6. Feb 2018