Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

Toward the Design of Allosteric Effectors: Gaining Comprehensive Control of Drug Properties and Actions by Wei-Ven Tee (5410859)

“…The rational design of allosteric effectors requires new state-of-the-art approaches to account for the distinct characteristics of allosteric ligands and their modes of action. We present a broadly applicable computational framework for obtaining allosteric site–effector pairs, providing targeted, highly specific, and tunable regulation to any functional site. …”

Toward the Design of Allosteric Effectors: Gaining Comprehensive Control of Drug Properties and Actions by Wei-Ven Tee (5410859)

“…The rational design of allosteric effectors requires new state-of-the-art approaches to account for the distinct characteristics of allosteric ligands and their modes of action. We present a broadly applicable computational framework for obtaining allosteric site–effector pairs, providing targeted, highly specific, and tunable regulation to any functional site. …”

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. by Gursimran Singh (575288)

The framework of the MAF-Net. by Dongwei Xie (4874992)

“…To address these challenges, we propose a multimodal fusion framework that leverages optical flow-based key frame extraction, data augmentation techniques, and an innovative fusion of skeletal and RGB streams using self-attention and skeletal attention modules. …”

Electrodiffusive voltage-gated currents modulate neural activity. by Zichao Liu (4591993)

PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. by Gursimran Singh (575288)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Overall framework of the proposed ASGM. by Bin Wu (138543)

PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

Vehicle control layer scene recovery module. by Yanbin Hu (1508464)

Driving command layer scene recovery module. by Yanbin Hu (1508464)

Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method by Michael Faran (16493968)

Subjects:

Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method by Michael Faran (16493968)

Subjects:

Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method by Michael Faran (16493968)

Subjects:

Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method by Michael Faran (16493968)

Subjects: