neuroscience theory

An enduring aim of research in the psychological and brain sciences is to understand the nature of individual differences in human intelligence, examin-.

decisionneurosciencelab.org·4.9 MB

The field of cognitive neuroscience addresses how mental functions are supported by the brain. This close relative of cognitive psychology is.

cmn-cdn-001.sagepub.com·3.9 MB

Neural Network Gaussian Processes (NNGP) corresponds to Free Field Theories. Deviations from NNGP turn on interaction terms. Small & large deviations leads to weakly coupled & non-perturbative Neural Network Field Theories, respectively. NNs also have a dual “parameters + architecture” description.

kasprzyk.work·2.6 MB

In these notes, we study a mathematical structure called neural networks. These objects have recently received much attention and have become a central ...

pc-petersen.eu·1.7 MB

We can think of theoretical neuroscience as a field which approaches problems in neuro- science with the following problem-solving methodology: theo- ries exist ...

par.nsf.gov·1.2 MB

We develop a diagrammatic approach to effective field theories (EFTs) corresponding to deep neural networks at initialization, which dramatically simplifies computations of finite-width corrections to neuron statistics.

journals.aps.org·1.1 MB

cognitive neuroscientists rely on statistical models to understand patterns of neural activity, often without any attempt to make a connection to the mechanism

bradlove.org·768.7 KB

Abstract: Neural Network Field Theories (NN-FTs) represent a novel construction of arbitrary field theories, including those of conformal fields, through the specification of the network architecture and prior distribution for the network parameters.

arxiv.org·589.0 KB

Both the path integral measure in field theory and ensembles of neural networks describe distributions over functions. When the central limit theorem can be applied in the infinite-width (infinite-N) limit, the ensemble of networks corresponds to a free field theory.

arxiv.org·584.8 KB

In this article we outline mind wandering as conceived within a model-based cognitive neuroscience framework (Forstmann and Wagenmakers, 2015;.

ihrke.github.io·568.4 KB

We describe how computational models can be useful to cognitive and behavioral neuroscience, and dis- cuss some guidelines for deciding whether a model is ...

people.umass.edu·460.6 KB

Model families include sequential sampling models, connectionist or neural network models, reinforcement learning models, predictive pro- ...

roydekleijn.nl·412.6 KB

A goal of this article is to assist behavioral social psychologists in determining when and how neuroscience might inform their interests. Why ShOuld bEhaviOral ...

amodiolab.org·411.2 KB

Abstract. This chapter reviews major theories of cognitive aging. Theories such as the sensory deficit hypothesis, speed of processing, and inhibitory ...

canlab.la.psu.edu·385.3 KB

The field of cognitive science studies latent, unobservable cognitive processes that generate observable behaviors.

ski.clps.brown.edu·335.4 KB

We will study the core feed-forward networks with back-propagation training, and then, in later chapters, address some of the major advances beyond this core.

introml.mit.edu·260.7 KB

There are three primary objectives of theoretical neuroscience: to provide quantitative testable predictions of brain function, to explain neuronal mechanisms

arxiv.org·199.4 KB

The theoretical framework of the neuroscience of love is evolutionary. It's particularly shaped by (a simple version of) evolutionary psychology, its aims,

www.asanet.org·188.4 KB

In this chapter, we review cognitive neuroscience hypotheses and theories of human intelligence—including neural speed and neural efficiency hypotheses, the ...

decisionneurosciencelab.org·153.3 KB

model-based cognitive neuroscience … uses formal mathematical models to articulate a theory or theories about cognition.

link.springer.com·3.0 KB