removed "&dl=1" from paper links

Author: jeremymanning

content/slides/outline.md

@@ -9,9 +9,9 @@ Note: papers that report on models we will be implementing in the assignments ar
     - Are neural networks like biological brains?
   - Hebbian learning and Hopfield networks
     - Readings:
-      - [Hopfield (1982)](https://www.dropbox.com/scl/fi/iw9wtr3xjvrbqtk38obid/Hopf82.pdf?rlkey=x3my329oj9952er68sr28c7xc&dl=1)
-      - [Hopfield (1984)](https://www.dropbox.com/scl/fi/7wktieqztt60b8wyhg2au/Hopf84.pdf?rlkey=yi3baegby8x6olxznsvm8lyxz&dl=1)
-      - [Amit et al. (1985)](https://www.dropbox.com/scl/fi/3a3adwqf70afb9kmieezn/AmitEtal85.pdf?rlkey=78fckvuuvk9t3o9fbpjrmn6de&dl=1)*
+      - [Hopfield (1982)](https://www.dropbox.com/scl/fi/iw9wtr3xjvrbqtk38obid/Hopf82.pdf?rlkey=x3my329oj9952er68sr28c7xc)
+      - [Hopfield (1984)](https://www.dropbox.com/scl/fi/7wktieqztt60b8wyhg2au/Hopf84.pdf?rlkey=yi3baegby8x6olxznsvm8lyxz)
+      - [Amit et al. (1985)](https://www.dropbox.com/scl/fi/3a3adwqf70afb9kmieezn/AmitEtal85.pdf?rlkey=78fckvuuvk9t3o9fbpjrmn6de)*
 
   - Discussion: Hopfield network simulations (storage capacity, cued recall, contextual drift)
   - **Assignment 1**: [Explore Hopfield Networks](https://contextlab.github.io/memory-models-course/assignments/Assignment_1%3AHopfield_Networks/README.html)
@@ -22,9 +22,9 @@ Note: papers that report on models we will be implementing in the assignments ar
     - free recall and memory search
     - naturalistic memory tasks
   - Readings:
-    - [Atkinson and Shiffrin (1968)](https://www.dropbox.com/scl/fi/rpllozjcv704okckjdy5k/AtkiShif68.pdf?rlkey=i0azhj9mqxws7bxocbl65j88d&dl=1)*
-    - [Chen et al. (2016)](https://www.dropbox.com/scl/fi/wg6fledn7g88ig5mk3kob/ChenEtal16.pdf?rlkey=9jqu7y2apqv2hrj8qepn4alwa&dl=1)
-    - [Heusser et al. (2021)](https://www.dropbox.com/scl/fi/w7z2yvdfzmhowh5hvg53e/HeusEtal21.pdf?rlkey=omad9klqeiu2kc71w7guc5xxq&dl=1)
+    - [Atkinson and Shiffrin (1968)](https://www.dropbox.com/scl/fi/rpllozjcv704okckjdy5k/AtkiShif68.pdf?rlkey=i0azhj9mqxws7bxocbl65j88d)*
+    - [Chen et al. (2016)](https://www.dropbox.com/scl/fi/wg6fledn7g88ig5mk3kob/ChenEtal16.pdf?rlkey=9jqu7y2apqv2hrj8qepn4alwa)
+    - [Heusser et al. (2021)](https://www.dropbox.com/scl/fi/w7z2yvdfzmhowh5hvg53e/HeusEtal21.pdf?rlkey=omad9klqeiu2kc71w7guc5xxq)
   - Data science primer:
     - Where to find behavioral datasets: [Penn Behavioral Data Archive](https://memory.psych.upenn.edu/Data_Archive), [OpenCogData](https://nimh-dsst.github.io/OpenCogData/), [OpenNeuro](https://openneuro.org/), [UCLA Psychological Dataset Archive](https://guides.library.ucla.edu/psychology/data), [Context Lab](https://www.context-lab.com/publications)
     - Web scraping with [requests](https://pypi.org/project/requests/) and [Beautiful Soup](https://beautiful-soup-4.readthedocs.io/en/latest/)
@@ -36,24 +36,24 @@ Note: papers that report on models we will be implementing in the assignments ar
 ## Weeks 4--5: Temporal Context and Multi-Timescale Models
 - Discussion: the temporal scales of memory, event boundaries, and situation models
 - Readings:
-  - [Howard and Kahana (2002)](https://www.dropbox.com/scl/fi/yjnusbmoixbf4aen1mkx8/HowaKaha02.pdf?rlkey=ktt245cw09szubjnoe4cco1tz&dl=1)
-  - [Polyn et al. (2009)](https://www.dropbox.com/scl/fi/98pui63j3o62xu96ciwhy/PolyEtal09.pdf?rlkey=42sc17ll573sm83g4q8q9x9nq&dl=1)*
-  - [Baldassano et al. (2017)](https://www.dropbox.com/scl/fi/wgn96xni9fevoo6h1yngn/BaldEtal17.pdf?rlkey=wg9qugm1szfw50xao6k9047j6&dl=1)
-  - [Honey et al. (2012)](https://www.dropbox.com/scl/fi/l3vzzc56jjhq9tc4cheev/HoneEtal12.pdf?rlkey=56wf835omj2i6gkdh0b8n38cx&dl=1)
-  - [Manning et al. (2014)](https://www.dropbox.com/scl/fi/a1zltxk43dn8qmm7puaql/MannEtal14d.pdf?rlkey=wg2ikym1svvl68hbuw4f5cpax&dl=1)
-  - [Ranganath and Ritchey (2012)](https://www.dropbox.com/scl/fi/asec4p68900eekp6vtdgb/RangRitc12.pdf?rlkey=hqixac8eij65hmn62stzvo4mp&dl=1)
-  - [DuBrow and Davachi (2016)](https://www.dropbox.com/scl/fi/86gkrz0a9k57556tz4d2z/DuBrDava16.pdf?rlkey=v6hxkbzz80m48pz4a2425q6bn&dl=1)
-  - [Zacks and Tversky (2001)](https://www.dropbox.com/scl/fi/28104fmu9kzk55znyxntd/ZackTver01.pdf?rlkey=2ytdz0e9agny4hmllcw7hvi8g&dl=1)
-  - [Zwann and Radvansky (1998)](https://www.dropbox.com/scl/fi/iqp70crdmpd5m97zzv45c/ZwaaRadv98.pdf?rlkey=habx93aplwkkw829vj9vkv52a&dl=1)
-  - [Brunec et al. (2018)](https://www.dropbox.com/scl/fi/1eu28rpwyp8eg2sn4fgau/BrunEtal18b.pdf?rlkey=64dnn3onc90o59fuv33peil6g&dl=1)
+  - [Howard and Kahana (2002)](https://www.dropbox.com/scl/fi/yjnusbmoixbf4aen1mkx8/HowaKaha02.pdf?rlkey=ktt245cw09szubjnoe4cco1tz)
+  - [Polyn et al. (2009)](https://www.dropbox.com/scl/fi/98pui63j3o62xu96ciwhy/PolyEtal09.pdf?rlkey=42sc17ll573sm83g4q8q9x9nq)*
+  - [Baldassano et al. (2017)](https://www.dropbox.com/scl/fi/wgn96xni9fevoo6h1yngn/BaldEtal17.pdf?rlkey=wg9qugm1szfw50xao6k9047j6)
+  - [Honey et al. (2012)](https://www.dropbox.com/scl/fi/l3vzzc56jjhq9tc4cheev/HoneEtal12.pdf?rlkey=56wf835omj2i6gkdh0b8n38cx)
+  - [Manning et al. (2014)](https://www.dropbox.com/scl/fi/a1zltxk43dn8qmm7puaql/MannEtal14d.pdf?rlkey=wg2ikym1svvl68hbuw4f5cpax)
+  - [Ranganath and Ritchey (2012)](https://www.dropbox.com/scl/fi/asec4p68900eekp6vtdgb/RangRitc12.pdf?rlkey=hqixac8eij65hmn62stzvo4mp)
+  - [DuBrow and Davachi (2016)](https://www.dropbox.com/scl/fi/86gkrz0a9k57556tz4d2z/DuBrDava16.pdf?rlkey=v6hxkbzz80m48pz4a2425q6bn)
+  - [Zacks and Tversky (2001)](https://www.dropbox.com/scl/fi/28104fmu9kzk55znyxntd/ZackTver01.pdf?rlkey=2ytdz0e9agny4hmllcw7hvi8g)
+  - [Zwann and Radvansky (1998)](https://www.dropbox.com/scl/fi/iqp70crdmpd5m97zzv45c/ZwaaRadv98.pdf?rlkey=habx93aplwkkw829vj9vkv52a)
+  - [Brunec et al. (2018)](https://www.dropbox.com/scl/fi/1eu28rpwyp8eg2sn4fgau/BrunEtal18b.pdf?rlkey=64dnn3onc90o59fuv33peil6g)
 - **Assignemnt 3**: [Build the Context Maintenance and Retrieval Model](https://contextlab.github.io/memory-models-course/assignments/Assignment_3%3AContext_Maintenance_and_Retrieval_Model/README.html)
 
 ## Week 6--7: Laplace Transforms
 - Discussion: is TCM *really* multi-timescale?
 - Discussion: Introduction to the Laplace Transform (and its inverse) and its relevance to memory
 - Readings:
-  - [Shankar and Howard (2012)](https://www.dropbox.com/scl/fi/cqh37rsdn11f6egdiskvf/ShanHowa12.pdf?rlkey=45qhdi5u2fmlxd4azq8is3j89&dl=1)*
-  - [Manning (2024)](https://www.dropbox.com/scl/fi/9amk5mlgeop0srtpwqesg/Mann23.pdf?rlkey=lc785xhq1pcjqdtarn692e21k&dl=1)
+  - [Shankar and Howard (2012)](https://www.dropbox.com/scl/fi/cqh37rsdn11f6egdiskvf/ShanHowa12.pdf?rlkey=45qhdi5u2fmlxd4azq8is3j89)*
+  - [Manning (2024)](https://www.dropbox.com/scl/fi/9amk5mlgeop0srtpwqesg/Mann23.pdf?rlkey=lc785xhq1pcjqdtarn692e21k)
 - **Assignment 4**: [Implement the Laplace Temporal Context Model](https://contextlab.github.io/memory-models-course/assignments/Assignment_4%3A_Laplace_Temporal_Context_Model/README.html)
 
 ## Week 8: Biologically Inspired Network Models
@@ -62,11 +62,11 @@ Note: papers that report on models we will be implementing in the assignments ar
   - [McClelland et al. (1995)](https://imss-www.upmf-grenoble.fr/prevert/MasterICA/SpecialiteSC/FichiersPDF/Why%20there%20are%20complementary%20learning%20systems%20in%20the%20hippocampus%20and%20neocortex%20insights%20from%20th.pdf)
   - [Rumelhart et al. (1986)](http://www.cs.toronto.edu/~fritz/absps/pdp2.pdf)
   - [O'Reilly and Norman (2002)](http://www.princeton.edu/~compmem/normorei02.pdf)
-  - [Schapiro et al. (2017)](https://www.dropbox.com/scl/fi/no2647c2witr2knb76gs2/SchaEtal17.pdf?rlkey=bpon63fy8g2rl3y9csabq748o&dl=1)
+  - [Schapiro et al. (2017)](https://www.dropbox.com/scl/fi/no2647c2witr2knb76gs2/SchaEtal17.pdf?rlkey=bpon63fy8g2rl3y9csabq748o)
 
 ## Week 9: Recurrent networks, LSTM networks, Transformers
 - Readings:
-  - [Schuster and Paliwal (1997)](https://www.dropbox.com/scl/fi/0guahq2kcbria108xyb9j/SchuPali97.pdf?rlkey=yp1a8272qhljeob68amdpxjki&dl=1)
+  - [Schuster and Paliwal (1997)](https://www.dropbox.com/scl/fi/0guahq2kcbria108xyb9j/SchuPali97.pdf?rlkey=yp1a8272qhljeob68amdpxjki)
   - [Hochreiter and Schmidhuber (1997)](https://deeplearning.cs.cmu.edu/S23/document/readings/LSTM.pdf)
   - [Radford et al. (2019)](https://insightcivic.s3.us-east-1.amazonaws.com/language-models.pdf)
     - Tutorial video: [Let's build GPT: from scratch, in code, spelled out](https://www.youtube.com/watch?v=kCc8FmEb1nY)