Karl J Friston,Tommaso Salvatori,Takuya Isomura et al.
Karl J Friston et al.
Recent advances in theoretical biology suggest that key definitions of basal cognition and sentient behavior may arise as emergent properties of in vitro cell cultures and neuronal networks. Such neuronal networks reorganize activity to dem...
Yang He,Vassiliy Lubchenko
Yang He
We construct a thermodynamic potential that can guide training of a generative model defined on a set of binary degrees of freedom. We argue that upon reduction in description, so as to make the generative model computationally manageable, ...
Toward a Free-Response Paradigm of Decision-Making in Spiking Neural Networks [0.03%]
朝向脉冲神经网络中自由响应的决策机制
Zhichao Zhu,Yang Qi,Wenlian Lu et al.
Zhichao Zhu et al.
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued...
Improving Recall Accuracy in Sparse Associative Memories That Use Neurogenesis [0.03%]
利用神经发生改善稀疏联想记忆的召回准确性
Katy Warr,Jonathon Hare,David Thomas
Katy Warr
The creation of future low-power neuromorphic solutions requires specialist spiking neural network (SNN) algorithms that are optimized for neuromorphic settings. One such algorithmic challenge is the ability to recall learned patterns from ...
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm [0.03%]
基于数据驱动SINDy算法的随机决策模型动力学方程的挖掘
Brendan Lenfesty,Saugat Bhattacharyya,KongFatt Wong-Lin
Brendan Lenfesty
Decision formation in perceptual decision making involves sensory evidence accumulation instantiated by the temporal integration of an internal decision variable toward some decision criterion or threshold, as described by sequential sampli...
Huzi Cheng,Joshua W Brown
Huzi Cheng
How episodic memories are formed in the brain is a continuing puzzle for the neuroscience community. The brain areas that are critical for episodic learning (e.g., the hippocampus) are characterized by recurrent connectivity and generate fr...
Shogo Sagawa,Hideitsu Hino
Shogo Sagawa
Standard domain adaptation methods do not work well when a large gap exists between the source and target domains. Gradual domain adaptation is one of the approaches used to address the problem. It involves leveraging the intermediate domai...
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions [0.03%]
具有线性和ReLU激活函数的自编码器的压缩能力研究
Liangjie Sun,Chenyao Wu,Wai-Ki Ching et al.
Liangjie Sun et al.
In this letter, we mainly study the depth and width of autoencoders consisting of rectified linear unit (ReLU) activation functions. An autoencoder is a layered neural network consisting of an encoder, which compresses an input vector to a ...
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit [0.03%]
基于多臂赌博机的实数值组合纯探索的快速算法
Shintaro Nakamura,Masashi Sugiyama
Shintaro Nakamura
We study the real-valued combinatorial pure exploration problem in the stochastic multi-armed bandit (R-CPE-MAB). We study the case where the size of the action set is polynomial with respect to the number of arms. In such a case, the R-CPE...
Daniele Lotito,Miriam Aquaro,Chiara Marullo
Daniele Lotito
Hebbian learning theory is rooted in Pavlov's classical conditioning While mathematical models of the former have been proposed and studied in the past decades, especially in spin glass theory, only recently has it been numerically shown th...