Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 68 for “"biologically plausible"”.
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Towards Biologically Plausible Deep Neural Networks
Human intelligence has long been a source of inspirations for developing artificial intelligence. Computational principles and components discovered in the human brain have been successfully applied to artificial systems. These artificial systems are not only useful for engineering tasks but also …
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Biologically plausible energy-efficient context-sensitive neural networks
… this research adopts a two-point neuron-based, biologically plausible training mechanism, which is transformed into a novel multimodal setting and applied to the audio-visual speech enhancement task. Experimental results, compared to a backpropagation-based baseline model, demonstrate …
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A Biologically Plausible Neuron Model of Mental Rotation
This thesis presents a biologically plausible account of mental rotation. To this end, there is evidence that mental rotation is a spatial imagery task that can invoke a variety of strategies, depending on the nature of the stimuli. This thesis uses simple but unfamiliar stimuli, which engenders a …
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Biologically-plausible six-legged running : control and simulation
… control and the resulting gait are argued to be plausible models of biological locomotion.
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Towards more biologically plausible deep learning and visual processing
… would be beneficial to build ANNs that are both biologically-plausible and well-performing, since they may serve as models for the brain and guide neuroscience research. On the other hand, developing a biology-compatible framework for ANNs makes it possible to borrow ideas from neuroscience to …
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Toward a more biologically plausible model of object recognition
… and maximum) have been cast into a more biologically plausible form, using monotonic nonlinearities and divisive normalization, and a possible canonical neural circuitry has been proposed. Second, shape tuning properties of visual area V4 have been explored using the corresponding layers …
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Oscillatory Spiking Circuits: A biologically plausible architecture for fast and reliable spiking computations
… number of spikes), rapidly, and robustly, using biologically plausible components and operating within biological constraints. At the heart lie neuronal oscillations which are produced by recurrent excitation and inhibition, called PING. The oscillations organise the spikes in time, putting the …
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A biological model of object recognition with feature learning
… learning of features and the use of a biologically-plausible classifier are presented.
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Towards an integrated model of feedforward-feedback processing in the visual cortex
… on a visual recognition system. The system is a biologically-plausible computational model of the feedforward part of the ventral stream in the visual cortex and successfully models human performance on visual recognition tasks for the first 50-100 milliseconds since the presentation of the …
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Biologically inspired computational neural models for motivated behavior, learning, and memory
… has been crucial for advancing more natural and biologically plausible forms of AI. The goal of this thesis is to introduce a set of biologically inspired models for motivated behavior, learning, and memory, that can be incorporated into artificially intelligent agents and networks. These models …
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Qualitative representation for recognition
… primate brain. The resulting representation is biologically plausible, although there is currently no evidence to suggest that the representation is actually used by the primate visual system. Constructed manually at first, the ratio-template can be learned automatically from a set of examples. …
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Inference and Learning in Spiking Neural Networks for Neuromorphic Systems
… optimization algorithms for training. Biologically plausible learning mechanism spike-timing-dependent plasticity (STDP) and its variants are local in synapses and time but are unstable during training and difficult to train multi-layer SNNs.</p><p>To better exploit the energy-saving …
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Inference And Learning In Spiking Neural Networks For Neuromorphic Systems
… optimization algorithms for training. Biologically plausible learning mechanism spike-timing-dependent plasticity (STDP) and its variants are local in synapses and time but are unstable during training and difficult to train multi-layer SNNs.</p><p>To better exploit the energy-saving …
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Integrating Functional Knowledge into Protein Design: A Novel Approach to Tokenization and Noise Injection for Function-Aware Protein Language Models
… function-conditioned protein sequences that are biologically plausible and semantically consistent. Unlike prior approaches, which treat function as a secondary feature or a classification task, our method focuses on joint reasoning over function and sequence during the design process. This …
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VISIT: An efficient computational model of human visual attention
… The model is efficient, flexible, and is biologically plausible. The complexity of the network is linear in the number of pixels. Effective parallel strategies are used to minimize the number of iterations required. The resulting system is able to efficiently solve two tasks that are …
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Pattern Recognition Using Spiking Neural Networks
… convinced neuroscientists to introduce a biologically plausible model of the neuron, which is known as spiking neurons. In opposition to conventional neuron, spiking neurons use a short electrical pulse known as a spike to transfer the information. The complexity and dynamic of these …
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An Exploration of Spiking Neural Networks and their use on Reinforcement Learning Tasks
… As spiking neural networks are considered more biologically plausible, methods of training inspired by natural learning have been proposed. These methods have been minimally applied to complex reinforcement learning domains, instead typically focusing on supervised learning problems. This thesis …
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Modelling the human perception of shape-from-shading
… luminance. Based on this idea, two versions of a biologically plausible model are developed to explain the human performances observed here and elsewhere. An algorithm sharing the same idea is also developed as a solution to the problem of intrinsic image decomposition in the field of image …
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Recurrent neural networks in cognitive and vision neuroscience
… development of novel training methodologies for biologically plausible neural networks, with a focus on models that incorporate recurrent dynamics characteristic of cortical circuits. First, we present an innovative approach for training stabilized supralinear networks, which are models of …
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Structure-function relationship in hierarchical model of brain networks
… weak couplings, the multilevel model displays biologically plausible dynamics and the synchronization patterns reveal a hierarchical cluster organization in the network structure. We can identify a group of brain areas involved in multifunctional tasks by comparing the dynamical clusters to the …
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