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Centre for Theoretical Neuroscience University of WaterlooChris EliasmithCentre for Theoretical Neuroscience University of WaterlooJohn Wiley & Sons, LtdTopics in Cognitive ScienceDuggins, Peter et al. (2017). "The effects of guanfacine and phenylephrine on a spiking neuron model of working memory". ...
Understanding normal brain aging and developing methods to maintain or improve cognition in older adults are major goals of fundamental and translational neuroscience. Here we show a core feature of cognitive decline—working-memory deficits—emerges from disconnected local and long-range circuits instantia...
Here we present a model for working memory which relies on the modulation of the intrinsic excitability properties of neurons, instead of synaptic plasticity, to retain novel information for periods of seconds to minutes. We show that it is possible to effectively use this mechanism to store the...
With our TWM, nine state-of-the-art models exhibit significant performance improvements across QA, captioning, and retrieval tasks. question-answering video-captioning working-memory audio-visual-learning video-text-retrieval multimodal-large-language-models multimodal-foundation-model Updated Jan 26, ...
(JASP Team,2024) was additionally used to determine Bayes factors, which are provided as a supplement to the frequentist analyses.BFinclindicates the strength of the evidence for including each factor or interaction in the model.BF< 1 indicates support for the null hypothesis.BF= 1–3 is ...
An illustration of a typical RNN model is given below: The RNN models are having a memory that always remembers what was done in previous steps and what has been calculated. The same task is being performed on all the inputs, and RNN uses the same parameter for each of the inputs. As...
“We used a simple model where we gave neurons two distinct firing rates depending on if there was a currently an ongoing gamma burst event or not,” Lundqvist says. “Then, simply based on the timing of recorded gamma burst events, we made thousands of spike trains. These artificial spike...
Briefly, the neural correlates of 3-back task accuracy were mainly associated with ensheathment of neurons, axon ensheathment, axonogenesis, myelination, and sodium channel activity (Fig. 3A). The neural correlates of 3-back task reaction time were predominantly associated with neuron ...
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