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Derivation of Convolutional Neural Network from Fully Connected N...
What are the advantages of ConvNets over FC networks in image analysis? How is ConvNet derived from FC networks? Where the term convolution in CNNs came from? These questions are to be answered in thi...
Semliki Forest virus vectors with mutations in the nonstructural ...
Semliki Forest virus (SFV) vectors are widely used in neurobiological studies because they efficiently infect neurons. As with any viral vector, they posse
Superior colliculus saccade motor bursts do not dictate movement ...
The primate superior colliculus (SC) contains a topographic map of space, such that the anatomical location of active neurons defines a desired eye movement vector. Complementing such a spatial code, ...
Superior colliculus saccade motor bursts do not dictate movement ...
The primate superior colliculus (SC) contains a topographic map of space, such that the anatomical location of active neurons defines a desired eye movement vector. Complementing such a spatial code, ...
Differential modulation of subthalamic projection neurons by shor...
The subthalamic nucleus (STN) is one of the best targets for therapeutic deep brain stimulation (DBS) to control motor symptoms in Parkinson’s disease. However, the precise circuitry underlying the ef...
Efficient transduction of green fluorescent protein in spinal cor...
In this study, we have evaluated the capacity of recombinant adeno-associated virus (rAAV) vectors, containing cell type-specific promoters, to transduce neurons in vivo in the normal adult rat spinal...
Neuronal vector coding in spatial cognition | Nature Reviews Neur...
Several types of neurons involved in spatial navigation and memory encode the distance and direction (that is, the vector) between an agent and items in its environment. Such vectorial information pro...
Detection and skeletonization of single neurons and tracer inject...
Neuroscientific data analysis has traditionally relied on linear algebra and stochastic process theory. However, the tree-like shapes of neurons cannot be described easily as points in a vector space ...
CREB controls cortical circuit plasticity and functional recovery...
Treatments that stimulate neuronal excitability enhance motor performance after stroke. cAMP-response-element binding protein (CREB) is a transcription factor that plays a key role in neuronal excitab...
A mosaic adeno-associated virus vector as a versatile tool that e...
Recent emphasis has been placed on gene transduction mediated through recombinant adeno-associated virus (AAV) vector to manipulate activity of neurons and their circuitry in the primate brain. In the...
Viral vectors for gene delivery to the nervous system | Nature Re...
Our ability to manipulate the genetic constitution of the nervous system has come of age with various technologies, including virus vectors that can efficiently deliver genes to neurons and other neur...
Viral vectors for gene delivery to the nervous system | Nature Re...
Our ability to manipulate the genetic constitution of the nervous system has come of age with various technologies, including virus vectors that can efficiently deliver genes to neurons and other neur...
DL-CapsNet: A Deep and Light Capsule Network
Capsule Network (CapsNet) is among the promising classifiers and a possible successor of the classifiers built based on Convolutional Neural Network (CNN). CapsNet is more accurate than CNNs in detect...
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons...
We introduce an unsupervised technique for encoding point clouds into a canonical shape representation, by disentangling shape and pose. Our encoder is stable and consistent, meaning that the shape en...
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons...
We introduce an unsupervised technique for encoding point clouds into a canonical shape representation, by disentangling shape and pose. Our encoder is stable and consistent, meaning that the shape en...
A New Development on ANN in China — Biomimetic Pattern Recognitio...
A new model of pattern recognition principles—Biomimetic Pattern Recognition, which is based on “matter cognition” instead of “matter Classification”, has been proposed. As a important means realizing...
Efficient Conversion of Astrocytes to Functional Midbrain Dopamin...
Direct cellular reprogramming is a powerful new tool for regenerative medicine. In efforts to understand and treat Parkinson's Disease (PD), which is marked by the degeneration of dopaminergic neurons...
Reprogramming of astrocytes to neuronal-like cells in spinal cord...
A Systematic Review To determine the therapeutic efficacy of in vivo reprogramming of astrocytes into neuronal-like cells in animal models of spinal cord injury (SCI). PRISMA 2020 guidelines were util...
Reprogramming of astrocytes to neuronal-like cells in spinal cord...
A Systematic Review To determine the therapeutic efficacy of in vivo reprogramming of astrocytes into neuronal-like cells in animal models of spinal cord injury (SCI). PRISMA 2020 guidelines were util...
Investigation of filamentation in a-Si/Ag/Cu memristors with atom...
Content selection saved. Describe the issue below: Cation-based Ag/Cu filaments formed in an insulatingα\alpha-Si matrix are widely used as memristors in crossbar arrays for efficient in-memory comput...