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Biological Information Processing Lab
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The lab studies information processing in the brain using neural networks and EEG.
AboutAbout the lab
Approaching information processing in the brain with neural networks and EEG.
The Biological Information Processing Lab studies artificial neural networks and the mechanisms of information processing in the brain and the visual system.
Currently, the lab focuses on developing biomarkers for psychiatric and neurological disorders, making use of its original EEG analysis methods.
The non-monotonic neural network, previously proposed by the lab, is widely known for its high memory capacity, among other properties.
On the lab's website, it is also introduced under the name "Morita Lab."
Key terms
- Neural network
- An artificial network modeled on neural circuits. It has abilities such as learning, recognition, and memory
- Biomarker
- An objective indicator of a disease or of a physical or mental state. Here, it refers to indicators read from EEG
- Neurofeedback
- A method that presents a person's mental state, visualized through EEG, to that person in real time so that they can learn to control their own state
ResearchResearch themes
The lab works on research to improve the capabilities of artificial neural networks, and on research to explore how the brain and the visual system process information. Building on results from research carried out until a few years ago, it is currently focusing on developing and applying EEG-based biomarkers for psychiatric and neurological disorders.
*Illustrative imageEEG-based biomarkers for psychiatric and neurological disorders
Using its original EEG analysis methods, the lab has found EEG activity that reflects changes in depressed mood, and is developing a technique to estimate a "depression scale," a numerical measure of the severity of depressive symptoms. Aiming at practical use, the lab is extending the work to disorders other than depression, and is also considering applications to neurofeedback, which presents a person's mental state in real time.
*Illustrative imageIntelligent information processing with neural networks
This research aims to improve the learning, recognition, memory, and other capabilities of artificial neural networks. The selective desensitization neural network (SDNN) has properties in contrast to those of deep neural networks, and is expected to compensate for their weaknesses.
*Illustrative imageModeling the brain's information processing system
This research aims to clarify the mechanisms of information processing in the brain by modeling complex, real neural circuits of the brain based on theoretical considerations. It also aims at engineering applications of the models it builds, and the SDNN draws on findings about how the brain integrates information.
*Illustrative imageInformation processing in the visual system
The lab investigates how the human visual system processes information by combining visual psychophysics experiments with models. It presents images that readily produce illusions, examines how participants respond, and develops models that explain the results well.
MembersFaculty
The members of the Biological Information Processing Lab are faculty and master's and undergraduate students.
- ProfessorMasahiko Morita
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Neural network explain” TseKiChun / CC BY-SA 4.0 (cropped)
- EEG-based biomarkers for psychiatric and neurological disorders: “EEG Recording Cap” Chris Hope / CC BY 2.0 (cropped)
- Intelligent information processing with neural networks: “Bidirectional recurrent neural network” Incfk8 / CC BY-SA 4.0 (cropped)
- Modeling the brain's information processing system: “Leaky Integrate-and-Fire model neuron (schematic)” Spiking16 / CC BY-SA 4.0 (cropped)
- Information processing in the visual system: “Optical Illusion” Ironnail / CC BY-SA 4.0 (cropped)
- Related lab (脳情報システム研究室): “Juggling Balls (81706016)” Richard Leonard / CC BY 2.0 (cropped)
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- Related lab (エネルギーリスク研究室
（鈴木研悟研究室） ): “Electrical grid and power plants” Wikideas1 / CC0 (cropped)
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