What do RNN Language Models Learn about Filler-Gap Dependencies? - Ethan Wilcox; Roger Levy; Takashi Morita 001; Richard Futrell (BlackboxNLP@EMNLP, 2018)

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency. - Richard Futrell; Ethan Wilcox; Takashi Morita 001; Roger Levy (CoRR, 2018)

Neural language models as psycholinguistic subjects: Representations of syntactic state. - Richard Futrell; Ethan Wilcox; Takashi Morita 001; Peng Qian; Miguel Ballesteros; Roger Levy (NAACL-HLT (1), 2019)

Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020). - Takashi Morita 001; Hiroki Koda (INTERSPEECH, 2020)

Animals exhibit consistent individual differences in their movement: A case study on location trajectories of Japanese macaques. - Takashi Morita 001; Aru Toyoda; Seitaro Aisu; Akihisa Kaneko; Naoko Suda-Hashimoto; Ikki Matsuda; Hiroki Koda (Ecol. Informatics, 2020)

Effects of short-term isolation on social animals' behavior: An experimental case study of Japanese macaque. - Takashi Morita 001; Aru Toyoda; Seitaro Aisu; Akihisa Kaneko; Naoko Suda-Hashimoto; Ikuma Adachi; Ikki Matsuda; Hiroki Koda (Ecol. Informatics, 2021)

Measuring context dependency in birdsong using artificial neural networks. - Takashi Morita 001; Hiroki Koda; Kazuo Okanoya; Ryosuke Tachibana (PLoS Comput. Biol., 2021)

Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification. - Taweesak Emsawas; Takashi Morita 001; Tsukasa Kimura; Ken-ichi Fukui; Masayuki Numao (Sensors, 2022)

Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment. - Yue Chen; Takashi Morita 001; Tsukasa Kimura; Takafumi Kato; Masayuki Numao; Ken-ichi Fukui (ICANN (5), 2023)

Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (CoRR, 2023)

Noise-aware physics-informed machine learning for robust PDE discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (Mach. Learn. Sci. Technol., 2023)

Oscillation-Driven Reservoir Computing for Long-Term Replication of Chaotic Time Series. - Yuji Kawai; Takashi Morita 001; Jihoon Park; Minoru Asada (ICANN (10), 2024)

Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (IEEE Access, 2024)

Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary. - Takashi Morita 001 (Trans. Mach. Learn. Res., 2024)

Granger causality-based cluster sequence mining for spatio-temporal causal relation mining. - Nat Pavasant; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (Int. J. Data Sci. Anal., 2024)

Oscillations enhance time-series prediction in reservoir computing with feedback. - Yuji Kawai; Takashi Morita 001; Jihoon Park; Minoru Asada (Neurocomputing, 2025)

Emergence of the Primacy Effect in Structured State-Space Models. - Takashi Morita 001 (CoRR, 2025)

Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters. - Takashi Morita 001; Timothy J. O'Donnell (CoRR, 2025)