Update documentation

.buildinfo

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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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_sources/markdown-notebooks.ipynb

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   {
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+   "id": "30f043ae",
    "metadata": {},
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     "# Notebooks with MyST Markdown\n",
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   },
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     "When your book is built, the contents of any `{code-cell}` blocks will be\n",

_sources/speech-perception/speech-perception_intro.md

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 # Speech Perception
 
-Welcome to the Speech Perception workshop!
+Welcome to the Speech Perception workshop!
+
+In the journal club, we will discuss the following papers:
+
+Key Paper: 
+- Pasad, A., Chien, C. M., Settle, S., & Livescu, K. (2024). What Do Self-Supervised Speech Models Know About Words? _Transactions of the Association for Computational Linguistics, 12_, 372-391. https://doi.org/10.1162/tacl_a_00656
+
+For presentations, choose from:
+- Mohebbi, H., Chrupała, G., Zuidema, W., & Alishahi, A. (2023). Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers. In _Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing_ (pp. 8249-8260). https://doi.org/10.18653/v1/2023.emnlp-main.513
+
+- Both of:
+    - Shen, G., Alishahi, A., Bisazza, A., Chrupała, G. (2023) Wave to Syntax: Probing spoken language models for syntax. _Proc. INTERSPEECH 2023_, 1259-1263. https://doi.org/10.21437/Interspeech.2023-679
+    - de Heer Kloots, M. & Zuidema, W. (2024). Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0. _Accepted to Proc. INTERSPEECH 2024_. [Find the PDF on Canvas]
+
+During the computer labs, we will work through [this notebook](https://clclab.github.io/IEinAI/speech-perception/speech_perception_lab.html).