Essays about: "Bayesian Confidence Propagation Neural Network BCPNN"

Found 5 essays containing the words Bayesian Confidence Propagation Neural Network BCPNN.

  1. 1. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rohan Raj; [2022]
    Keywords : episodic memory; long-term memory; Bayesian Confidence Propagation Neural Network; synaptic plasticity; plasticity modulation; computational neuroscience;

    Abstract : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. READ MORE

  2. 2. The Impact of Selective Plasticity Modulationon Simulated Long Term Memory

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Silvia Barrett; Alicia Palmér; [2021]
    Keywords : BCPNN; Long-term memory; Computational brain modeling; Reminiscence bump; Plasticity modulation;

    Abstract : Understanding the brain and its functions is achallenging undertaking. To facilitate this work, brain-inspiredtechnology may be used to examine cognitive phenomena to acertain extent, by replacing real biological brains with simulations. READ MORE

  3. 3. Unsupervised learning of data representations in brain-like neural networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Arian Javdan; [2021]
    Keywords : ;

    Abstract : Recently, there has been a growing interest in brain-plausible neural networks that closely resemble the brain’s structure. However, conventional networks do not make good models for the brain since these connections are modelled differently, hence the interest in brain-plausible networks. READ MORE

  4. 4. Attractor Neural Network modelling of the Lifespan Retrieval Curve

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Patrícia Pereira; [2020]
    Keywords : reminiscence bump; attractor neural network; Bayesian Confidence Propagation Neural Network BCPNN ; recency; synaptic plasticity; episodic memory; ”reminiscence bump”; attraktorneuronnät; Bayesian Confidence Propagation Neural Network BCPNN ; nysseffekt; synaptisk plasticitet; episodiskt mine.;

    Abstract : Human capability to recall episodic memories depends on how much time has passed since the memory was encoded. This dependency is described by a memory retrieval curve that reflects an interesting phenomenon referred to as a reminiscence bump - a tendency for older people to recall more memories formed during their young adulthood than in other periods of life. READ MORE

  5. 5. Sequence Disambiguation in a Brain-Like Recurrent Neural Network with Local Associative Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ivan Pavlovich Zelenin; Mina Beigi Boroujeni; [2020]
    Keywords : ;

    Abstract : The learning of sequences is a fundamental ability of biological networks. While there are many artificial networks that are able to successfully learn sequences, it is of particular interest to study networks that attempt to do so in a manner similar to how it is done by a human brain. READ MORE