There is a need for greater integration in the domains of the development of sensory representations, the response of neural systems to damage, the integration of information from more than one sense and the transformation of sensory inputs to representations useful for action.
The current study aimed to investigate the functioning of neural systems involved in shared representations for self and others in autistic children.
Habituation effects have been observed in a wide range of neural systems from simple sensory responses [ 1], to higher-order neural representations such as motion-sensitive populations in Area MT [ 2], and regions responding to written and spoken language [ 3].
From our perspective, the most balanced representation of mathematical concepts used in the modern neurosciences is presented in Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Dayan and Abbott, 2001).
International Journal of Neural Systems.
Present address: Laboratory of Neural Systems, Rockefeller University, New York, New York, USA.
However, it has not been possible to directly test representational learning algorithms directly against the representations contained in neural systems.
Models are representations of natural systems.
Image 3: Schematic representation of neural network: Parallel interconnected nodes provide robust information processing in neuronal systems.
Sparseness plays an important role in neural systems through optimizing the specificity, efficiency, and capacity of memory representations.
Overlapping neural representations of the value of one's own and others' outcomes are a central component of empathy [ 15] and prosocial behavior [ 16], suggesting that attention be paid to neural systems involved in valuation.
