장현재 사진
장현재
소속
컴퓨터공학부
연락처
041-550-2407
이메일
hj_jang@bu.ac.kr
전공
연구실

세부내용

학력사항

2013. 03 ~ 2017. 08
Ph.D. in Brain and Cognitive Engineering, Korea University
Thesis: Gating of neural code transformation and propagation by feedforward and feedback inhibitory network in feedforward neural network model (1회 대출)
2011.03 ~ 2013. 02
Master of Engineering in Brain and Cognitive Engineering, Korea University
Thesis: Development and assessment of excitatory-inhibitory neuromorphic network model for hippocampal spike timing-dependent plasticity
2007. 03 ~ 2011.02
Bachelor of Engineering in Computer and Communication Engineering, Department of Computer and Communication Engineering, Korea University
Bachelor of Interdisciplinary Major in Brain and Cognitive Scien

경력사항

2021.03 ~ Present
Assistant Professor
Division of Computer Engineering, Baekseok University, Republic of Korea
2017.09 ~ 2021.02
Research Professor
Department of Brain and Cognitive Engineering, Korea University, Republic of Korea
2014.09 ~ 2014.10
Visiting Researcher
Computational Neuroanatomy, Max-Planck Institute for Biological Cybernetics, Germany

수상사항

2019

Trainee Poster Award, 28th Annual computational neuroscience meeting 2019 (CNS*2019), USA

2016

National Institute of Neurological Disorders and Stroke (NINDS) Scholarship, USA

2015

Outstanding Paper Award at the 7th Symposium on Brain and Cognitive Engineering, Korea

2012

Best Poster Award at the 4th International Symposium on Brain and Cognitive Engineering, Korea

2011

Best Poster Award 

연구실적

- SCI Published Paper

In vivo direct imaging of neuronal activity at high temporo-spatial resolution, bioRxiv (2021)

Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike-times in the neocortex, Science Advances (2020)

Dissociation of somatostatin and parvalbumin interneurons circuit dysfunctions underlying hippocampal theta and gamma oscillations impaired by amyloid β oligomers in vivo, Brain Structure and Function (2020)

Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillation and long-term potentiation impairments induced by amyloid β oligomers. BMC Biology (2020)

Spatiotemporally random and diverse grid cell spike patterns contribute to the transformation of grid cell to place cell in a neural network model, PLOS ONE (2019)

GABAA receptor-mediated feedforward and feedback inhibition differentially modulate the gain and the neural code transformation in hippocampal CA1 pyramidal cells, Neuropharmacology (2015)

M-type potassium conductance controls the emergence of neural phase codes: a combined experimental and neuron modelling study, Journal of the Royal Society Interface (2014)

Frequency dependence of CA3 spike phase response arising from h-current properties, Frontiers in Cellular Neuroscience (2013)

GABAA receptor-mediated feedforward and feedback inhibition differentially modulate hippocampal spike timing-dependent plasticity, Biochemical and Biophysical Research Communications (2012)

 

- Book Chapter

Chapter 5: Current Trends in Memory Implantation and Rehabilitation, Recent Progress in Brain and Cognitive Engineering (Trends in Augmentation of Human Performance), Springer Netherlands(2015)

 

- Patent

실시간 폐회로 뇌-인공신경망 인터페이스 장치 및 그 방법 (Real-time closed-loop brain-artificial neural network interface apparatus and method)

Korea Patent (10-1817016)(2018)

 

- International Conference

Optogenetic activation of somatostatin interneurons selectively restores hippocampal spike timing-dependent long-term potentiation impaired by Aβ oligomers. Neuroscience 2019(2019)

 

Dissociation of parvalbumin-positive and somatostatin-positive interneurons’ contributions to frequency-selective impairments of synaptic inhibition to hippocampal pyramidal cells induced by Aβ oligomers in vitro. The 10th IBRO World Congress of Neuroscience(2019)

 

Differential roles of PV and SST interneurons in spike-timing pattern propagation in the cortical feedforward network. Annual Computational Neuroscience Meeting(2019, BEST RESEARCH AWARD)

 

In vivo evidence of spatio-temporal spike pattern propagation in feedforward network of vibrissal primary somatosensory cortex. Society for Neuroscience(2018)

 

Propagation of spatio-temporally complex spike pattern in feedforward network of the barrel cortex: in vitro multi-electrode array and in silico neural network model study. Annual Computational Neuroscience Meeting(2017)

 

Investigation of synaptic and network mechanisms underlying reliable propagation of neural codes in feedforward neural network model. Human Frontier Science Program Awardees Meeting(2016)

 

Dynamic gating of spike pattern propagation by Hebbian and anti-Hebbian spike timing-dependent plasticity in excitatory feedforward network model. Annual Computational Neuroscience Meeting(2016)

 

Spike timing-dependent plasticity enables reliable propagation of in vivo spike pattern in feedforward network model. State of the Brain(2016, NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE (NINDS) SCHOLARSHIP RECIPIENT)

 

Dynamic activation of feedforward and feedback inhibition enables reliable propagation of sparse in vivo spike patterns in feedforward network, Society for Neuroscience(2015)

 

Temporal Pattern Propagation in Feedforward Network. The 6th International Conference on Brain and Cognitive Engineering(2014, BEST POSTER AWARD)

 

Feedforward and feedback inhibition differentially modulate the spike output patterns of CA1 pyramidal neuron. Society for Neuroscience(2013)

 

Decreased A-type K+current alters the spike timing-dependent plasticity induction rule in hippocampal network model: a NEURON model study. The Federation of European Neuroscience (2012)

 

GABAergic maturation with development changes the spike timing-dependent plasticity induction rules in hippocampal neural network. Annual Meeting of the Korean Society for Brain and Neural Science(2011)