Brain integrates sensory signals from the surrounding environment to guide valuable behaviors such as finding food or avoiding danger. In order to decode the statistical structure of sensory signals input and the precise changing behavior, neural recordings need to be performed with complex, spatiotemporal analysis patterns to increase scale and resolution. Moreover, sensory stimulation coding is a dynamic process affected by neural activity, while there is difficulty to couple the robust neural code with transient behavioral performance in the current research. That suggests multiple models of research with a variety of techniques including electrophysiology, neural imaging, and optogenetics, may show great promise in testing the correlations between sensory codes and behavior.
Recent research in the field of sensory neuroscience focuses on finding the neural circuit of behavioral responses and functional consequences of neuron coding in the neural activity features. Many researchers want to obtain a reductionist understanding of nervous system function and behavior in the whole brain-wide, choosing to link dynamic neuron activity patterns to robust behavior performance. However, the lack of integrated perspective results in the neural code behind the phenomenon of behavior remaining unclear. In conclusion, we need to explore multiple models in which neural recording performs at a high scale and resolution of signals in real-time. Moreover, an optimum analysis method in neural coding is also a useful way to explain the functional consequences of Spatio-temporal code.
Aspects of nervous system function in which we want to report related research and review articles include multimodal recording and analysis method: how do neurons sense stimuli such as olfactory and auditory, and how do sensory circuits integrate and process this information. We are also interested in behavioral states: how do contextual cues such as satiety and the presence of food influence behavior through defined neural circuits, and what roles do molecules like dopamine, serotonin, and neuropeptides play in these processes. In addition, complex neural coding models rely on competent tools like machine learning analysis and dynamic brain-wide neural population recording methods to complete decoding analysis. The improvement of new methods and tools such as a more efficient analysis algorithm of neural decoding and increasing in scale and resolution of neuron recording is also our interest point.
Brain integrates sensory signals from the surrounding environment to guide valuable behaviors such as finding food or avoiding danger. In order to decode the statistical structure of sensory signals input and the precise changing behavior, neural recordings need to be performed with complex, spatiotemporal analysis patterns to increase scale and resolution. Moreover, sensory stimulation coding is a dynamic process affected by neural activity, while there is difficulty to couple the robust neural code with transient behavioral performance in the current research. That suggests multiple models of research with a variety of techniques including electrophysiology, neural imaging, and optogenetics, may show great promise in testing the correlations between sensory codes and behavior.
Recent research in the field of sensory neuroscience focuses on finding the neural circuit of behavioral responses and functional consequences of neuron coding in the neural activity features. Many researchers want to obtain a reductionist understanding of nervous system function and behavior in the whole brain-wide, choosing to link dynamic neuron activity patterns to robust behavior performance. However, the lack of integrated perspective results in the neural code behind the phenomenon of behavior remaining unclear. In conclusion, we need to explore multiple models in which neural recording performs at a high scale and resolution of signals in real-time. Moreover, an optimum analysis method in neural coding is also a useful way to explain the functional consequences of Spatio-temporal code.
Aspects of nervous system function in which we want to report related research and review articles include multimodal recording and analysis method: how do neurons sense stimuli such as olfactory and auditory, and how do sensory circuits integrate and process this information. We are also interested in behavioral states: how do contextual cues such as satiety and the presence of food influence behavior through defined neural circuits, and what roles do molecules like dopamine, serotonin, and neuropeptides play in these processes. In addition, complex neural coding models rely on competent tools like machine learning analysis and dynamic brain-wide neural population recording methods to complete decoding analysis. The improvement of new methods and tools such as a more efficient analysis algorithm of neural decoding and increasing in scale and resolution of neuron recording is also our interest point.
